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Following we have posted an - INCOMPLETE - bibliography on papers focussing on forecasting with Neural Networks.
We are currently working on completing this bibliography and grouping it into different applications domains!
If you wish to participate please contact us ... if you wish to include missing / your papers, please send an endnote library file (*.enl) to include your information to sven.f.crone@bis-lab.com .

Some of these papers may be found in www.citeseer.com - mostly as technical reports preceding the original publication, but with limited changes. However, always try to access the final version!

 

(1993). NnCM '93 : proceedings of the first International Workshop on Neural Networks in the Capital Markets, London, November 18-19, 1993. London, London Business School.
(1993). "Update." Electronics world + wireless world 99(1685): 268.
(1995). Neural connection. Chicago, IL, SPSS: 2 computer disks.
(1995). "95/06116 A neural network operator oriented short-term and online load forecasting environment." Fuel and Energy Abstracts 36(6): 433.
(1995). "95/06129 Short-term load forecasting using neural networks." Fuel and Energy Abstracts 36(6): 434.
(1995). "95/04820 Unit commitment using load forecasting based on artificial neural networks." Fuel and Energy Abstracts 36(5): 344.
(1995). "95/01568 Short-term load forecasting by a neural network and a refined genetic algorithm." Fuel and Energy Abstracts 36(2): 107.
(1995). "Comparing the predictive performance of a neural network model with some traditional market response models : and International Journal of Forecasting 10 (2), 235-244 (September 1994)." Long Range Planning 28(1): 134-135.
(1995). "Peak load forecasting using a fuzzy neural network." Fuel and Energy Abstracts 36(3): 199.
(1996). "5461699 Forecasting using a neural network and a statistical forecast : Arbabi Mansu; Fischthal ScottBethesda, MD, UNITED STATES Assigned to International Business Machines Corporation." Expert Systems with Applications 11(1): III.
(1996). "Application of a neural network to forecasting of a chaotic acoustic signal : Grabec, I. Ultrasonics International 93 Conference Proceedings, Vienna (Austria), 6-8 Jul. 1993. pp. 771-774. Butterworth-Heinemann Ltd (1993) ISBN 0 750618779." NDT & E International 29(1): 56.
(1996). "96/00503 Forecasting monthly electric load and energy for a fast growing utility using an artificial neural network." Fuel and Energy Abstracts 37(1): 30.
(1997). "Infrastructure condition forecasting using neural networks : Schwartz, C.W. Infrastructure Planning and Management Conference Proceedings, Denver, Colorado (United States), 21-23 Jun. 1993. pp. 282-284. Edited by J.L. Gifford, D.R. Vzarski and S. McNeil. American Society of Civil Engineers (1993). ISBN 0-87262-917-1." NDT & E International 30(5): 334.
(1998). "In situ infrared spectroscopy and neural network analysis for composite cure monitoring : Fildes, J.M.; Milkovich, S.M.; Altkorn, R., Haidle, R.; Neatrour, J. Advanced Materials: Expanding the Horizons. 25th International SAMPE Technical Conference, Philadelphia, Pennsylvania (United States), 26-28 Oct. 1993. Vol. 25, pp. 887-900. Edited by R. Trabocco and T. Lynch, SAMPE (1993)." NDT & E International 31(2): 134.
(1999). "Neural networks for predictive control of drilling dynamics." Journal of Petroleum Technology 51(10): 36-37.
(1999). "99/00494 Egyptian Unified Grid hourly load forecasting using artificial neural network." Fuel and Energy Abstracts 40(1): 48.
(2000). "00/00280 Artificial neural network for forecasting residential electrical energy." Fuel and Energy Abstracts 41(1): 29.
(2002). "Control of grinding plants by predictive multivariable neural control." Metal powder report 57(1): 36.
(2002). "Prediction of gaseous emissions from a chain grate stoker boiler using neural networks of ARX [autoregressive with exogenous inputs] structure." Fuel and Energy Abstracts 43(3): 204.
(2002). "Prediction of outcomes of lumbar fusion surgery using a neural network." The Spine Journal 2(1): 11-12.
(2002). "Power plant condenser performance forecasting using a non-fully connected artificial neural network." Fuel and Energy Abstracts 43(2): 148.
(2003). "Up to year 2020 load forecasting using neural nets : Kermanshahi, B. and Iwamiya, H. International Journal of Electrical Power & Energy Systems, 2002, 24, (9), 789-797." Fuel and Energy Abstracts 44(3): 157.
(2003). "Artificial neural network predicts SOFC performance." Fuel Cells Bulletin 2003(4): 13.
(2003). "Research on BP neural network in the prediction model of optimized coal blending : Ying, L. and Zhou, J. Meitan Zhuanhua, 2002, 25, (2), 79-85. (In Chinese)." Fuel and Energy Abstracts 44(2): 72.
(2003). "Prediction of the COP of existing rooftop units using artificial neural networks and minimum number of sensors : Zmeureanu, R. Energy, 2002, 27, (9), 889-904." Fuel and Energy Abstracts 44(2): 116.
(2003). "Neural network prediction of prostate cancer progression." Academic Radiology 10(9): 1073-1074.
(2003). "03/02355 Regional load forecasting in Taiwan - applications of artificial neural networks : Hsu, C.-C. and Chen, C.-Y. Energy Conversion and Management, 2003, 44, (12), 1941-1949." Fuel and Energy Abstracts 44(6): 384.
Abaye, A. (1995). Power system load forecasting by neural networks: xv, 130 leaves.
Abdelaziz, A. Y., M. R. Irving, et al. (1995). "Out-of-Step Prediction Based on Artificial Neural Networks." Electric Power Systems Research 34(2): 135-142.
Abdelaziz, A. Y. (1996). "Out-of-step prediction based on artificial neural networks." Fuel and Energy Abstracts 37(3): 194.
Abdelwahab, H. T. and M. A. Abdel-Aty (2001). Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections.
Abdelwahab, H. T. and M. A. Abdel-Aty (2001). Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections. Highway Safety: Modeling, Analysis, Management, Statistical Methods, and Crash Location. Washington, TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL: 6-13.
Abdul-Wahab, S. A. (2001). "IER photochemical smog evaluation and forecasting of short-term ozone pollution levels with artificial neural networks." Process Safety and Environmental Protection 79(B2): 117-128.
Abdul-Wahab, S. A. and S. M. Al-Alawi (2002). "Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks." Environmental Modelling & Software 17(3): 219-228.
Abdulhai, B., H. Porwal, et al. (1999). Short term freeway traffic flow prediction using genetically-optimized time-delay-based neural networks. Berkeley, Calif., California PATH Program Institute of Transportation Studies University of California at Berkeley.
Abdulla, M. A. M. "Harmonic Magnification in Power System and Its Effect on the Power Quality (Neural Networks, Static Var Compensator)." DAI, , 58, no. 12B, (1997): 6718.
Abdullah, M. H. L. and V. Ganapathy (2000). Neural network ensemble for financial trend prediction. TENCON 2000 Proceedings, Kuala Lumpur, Malaysia.
Abernethy, D., M. Urquidi-MacDonald, et al. (2003). "Neural networks pattern recognition to predict abciximab pharmacodynamics using readily available patient characteristics." Clinical Pharmacology & Therapeutics 73(2): P51-P51.
Abou-Elseoud, M. K. "Artificial Neural Network-Based Physiological Models: Prediction of Energy Cost in Manual Lifting Activities (Neural Network)." DAI, , 59, no. 09B, (1998): 5021.
Abou-Elseoud, M. K. (1998). Artificial neural network-based physiological models : prediction of energy cost in manual lifting activities: xx, 331 leaves.
Abou-Elseoud, M. K. (1998). "Artificial Neural Network-Based Physiological Models: Prediction of Energy Cost in Manual Lifting Activities (Neural Network)." DAI 59(09B): 332.
Aboul-Magd, M. A. and E. E.-D. E.-S. Ahmed (2001). An artificial neural network model for electrical daily peak load forecasting with an adjustment for holidays. Power Engineering, 2001. LESCOPE '01. 2001 Large Engineering Systems Conference on.
Abraham, A. "Meta learning evolutionary artificial neural networks." Neurocomputing In Press, Corrected Proof.
Abrahart, R. J. and L. See (2000). "Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments." Hydrological Processes 14(11-12): 2157-2172.
Abuelgasim, A. A. M. (1996). "The applications of neural networks in mapping, modeling and change detection using remotely sensed data." DAI 57(03A): 1267.
Achireko, P. K. (1998). "Application of Modified Conditional Simulation and Artificial Neural Networks to Open Pit Optimization (Commodity Prices, Ore Grades)." DAI 60(07B): 3537.
Adali, T., B. Bakal, et al. (1999). "NOx and CO prediction in fossil fuel plants by time delay neural networks." Integrated Computer-Aided Engineering 6(1): 27-39.
Adam, D. (2000). Prognosequalität neuronaler Netze. Münster, Inst. für Industrie- und Krankenhausbetriebslehre.
Adamec, R. E., J. Blundell, et al. (2001). "Neural plasticity and stress induced changes in defense in the rat." Neuroscience & Biobehavioral Reviews 25(7-8): 721-744.
Adams, J. B. (1999). "Predicting pickle harvests using a parametric feedforward neural network." Journal of Applied Statistics 26(2): 165-176.
Adebiyi, O. A. (1999). "Decomposition Strategies for Process Identification and Control Using Neural Networks." DAI 60(06B): 2808.
Adetona, O. (1994). Multi-sensor integration using neural networks for predicting quality characteristics of end-milled parts: effects of training parameters and learning rules: 133 p.
Adhikari, B. and V. K. Jindal (2000). "Artificial neural networks: a new tool for prediction of pressure drop of non-Newtonian fluid foods through tubes." Journal of Food Engineering 46(1): 43-51.
Admans, G., Y. Takahashi, et al. (2001). "Artificial neural network for predicting the toxicity of organic molecules." Bulletin of the Chemical Society of Japan 74(12): 2451-2461.
Adya, M. and F. Collopy (1998). "How effective are neural networks at forecasting and prediction? A review and evaluation." Journal of Forecasting 17(5-6): 481-495.
Affolter, C. and J. T. Clerc (1993). "Prediction of Infrared-Spectra from Chemical Structures of Organic-Compounds Using Neural Networks." Chemometrics and Intelligent Laboratory Systems 21(2-3): 151-157.
Afkhami-Rohani, R. (1998). Dannlf-dual artificial neural network load forecaster: xii, 105 leaves.
Agarwal, A. "Neural Networks and Their Extensions for Business Decision- Making." DAI, , 54, no. 08B, (1993): 4242.
Agarwal, S. K., D. J. Bagli, et al. (1997). "Artificial neural networks in pediatric urology: Prediction of sonographic outcome following pyeloplasty." Pediatrics 100(3): 535-535.
Agarwal, P. (1998). A neural network model for predicting delay at isolated signalized intersections: 95 leaves.
Agatonovic-Kustrin, S. and R. G. Alany (2001). "Role of genetic algorithms and artificial neural networks in predicting the phase behavior of colloidal delivery systems." Pharmaceutical Research 18(7): 1049-1055.
Aggarwal, R. "Identification of Parameters and Control of Robotic Manipulators Using Artificial Neural Networks." MAI, , 35, no. 02, (1995): 0561.
Agnihotri, V. V. "Time Series Prediction Using Neural Networks." MAI, , 33, no. 06, (1995): 1888.
Agnihotri, V. V. (1995). Time series prediction using neural networks: ix, 50 leaves.
Agrawal, D. and C. Schorling (1996). "Market share forecasting: An empirical comparison of artificial neural networks and multinomial logit model." Journal of Retailing 72(4): 383-407.
Agrawal, J. D. and M. C. Deo (2002). "On-line wave prediction." Marine Structures 15(1): 57-74.
Aguado, D., J. R. Dorronsoro, et al. (2000). "Job performance and staff rotation prediction for salespersons selection: A neural network based computerized test." International Journal of Psychology 35(3-4): 381-381.
Agudo, M. E. "An Approach to on-Line Static Security Assessment of Power Systems Using Artificial Neural Network Techniques." DAI, , 56, no. 05B, (1995): 2770.
Aguiar, H. C. and R. Maciel (2001). "Neural network and hybrid model: a discussion about different modeling techniques to predict pulping degree with industrial data." Chemical Engineering Science 56(2): 565-570.
Aguiar, H. C. and R. M. Filho (2001). "Neural network and hybrid model: a discussion about different modeling techniques to predict pulping degree with industrial data." Chemical Engineering Science 56(2): 565-570.
Aguilera, P. A., A. G. Frenich, et al. (2001). "Application of the Kohonen neural network in coastal water management: methodological development for the assessment and prediction of water quality." Water Research 35(17): 4053-4062.
Aguilera, P. A., A. G. Frenich, et al. (2001). "Application of the kohonen neural network in coastal water management: methodological development for the assessment and prediction of water quality." Water Research 35(17): 4053-4062.
Ahmad, H. A., G. V. Dozier, et al. (2001). "Egg price forecasting using neural networks." Journal of Applied Poultry Research 10(2): 162-171.
Ahmad, S. and M. M. Gromiha (2002). "NETASA: neural network based prediction of solvent accessibility." Bioinformatics (Oxford, England) 18(6): 819-824.
Ahmad, S., M. M. Gromiha, et al. (2003). "Real value prediction of solvent accessibility from amino acid sequence." Proteins 50(4): 629-635.
Ahmad, S. and M. M. Gromiha (2003). "Design and training of a neural network for predicting the solvent accessibility of proteins." Journal Of Computational Chemistry 24(11): 1313-1320.
Ahmed, S. M. (1992). Short term load forecasting using artificial neural networks: xi, 67 leaves.
Ahn, B.-H. "Forward Additive Neural Network Models." DAI, , 57, no. 05B, (1996): 3389.
Ahn, B.-H. (1996). "Forward additive neural network models." DAI 57(05B): 3389.
Ahn, B. S., S. S. Cho, et al. (2000). "The integrated methodology of rough set theory and artificial neural network for business failure prediction." Expert Systems with Applications 18(2): 65-74.
Ai, J. H., X. Jiang, et al. (2003). "Artificial neural network prediction of the microstructure of 60Si2MnA rod based on its controlled rolling and cooling process parameters." Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing 344(1-2): 318-322.
Aiken, M. (1999). "Using a neural network to forecast inflation." Industrial Management & Data Systems 99(7-8): 296-301.
Aiken, M. and M. Bsat (1999). "Forecasting market trends with neural networks." Information Systems Management 16(4): 42-48.
Ainscough, T. L. "A Neural Network Approach to the Analysis of Scanner Data (Purchase Behavior)." DAI, , 56, no. 02A, (1994): 0629.
Ainscough, T. L. and J. E. Aronson (1999). "An empirical investigation and comparison of neural networks and regression for scanner data analysis." Journal of Retailing and Consumer Services 6: 205-217.
Aires-de-Sousa, J., M. C. Hemmer, et al. (2002). "Prediction of H-1 NMR chemical shifts using neural networks." Analytical Chemistry 74(1): 80-90.
Aires-de-Sousa, J. and J. Gasteiger (2002). "Prediction of enantiomeric selectivity in chromatography. Application of conformation-dependent and conformation-independent descriptors of molecular chirality." Journal Of Molecular Graphics & Modelling 20(5): 373-388.
Aires-de-Sousa, J., M. C. Hemmer, et al. (2002). "Prediction of 1H NMR chemical shifts using neural networks." Analytical Chemistry 74(1): 80-90.
Aitkenhead, M. J., A. J. S. McDonald, et al. (2003). "A novel method for training neural networks for time-series prediction in environmental systems." Ecological Modelling 162(1-2): 87-95.
Akhavan, F., S. E. Watkins, et al. (2000). "Prediction of impact contact forces of composite plates using fiber optic sensors and neural networks." Mechanics of Composite Materials and Structures 7(2): 195-205.
Akhtar, S. (1998). "Identification and Classification of Helicopters Using Neural Nets." MAI 37(06): 1959.
Akileswaran, R. (1995). Application of neural networks for the prediction of human pharmacokinetic parameters: xi, 195 leaves.
Akkurt, S., S. Ozdernir, et al. (2002). "Genetic algorithm-artificial neural network model for the prediction of germanium recovery from zinc plant residues." Transactions of the Institution of Mining and Metallurgy Section C-Mineral Processing and Extractive Metallurgy 111: C129-C134.
Akritas, P., I. Antoniou, et al. (2000). "Identification and prediction of discrete chaotic maps applying a Chebyshev neural network." Chaos, Solitons & Fractals 11(1-3): 337-344.
Al-Alawi, S. M., G. A. Ali, et al. (1996). A novel approach for traffic accident analysis and prediction using artificial neural networks.
Al-Assaf, Y. and H. El Kadi (2001). "Fatigue life prediction of unidirectional glass fiber/epoxy composite laminae using neural networks." Composite Structures 53(1): 65-71.
Al-Fattah, S. M. and R. A. Startzman (2003). "Neural network approach predicts US natural gas production." Spe Production & Facilities 18(2): 84-91.
Al-Haik, M. S. (2002). "Durability of a polymer matrix composite: Neural networks approach." DAI 63(02B): 979.
Al-Haik, M. S., H. Garmestani, et al. (2003). "Truncated-Newton training algorithm for neurocomputational viscoplastic model." Computer Methods in Applied Mechanics and Engineering 192(19): 2249-2267.
Al-Khaleefi, A. M., M. J. Terro, et al. (2002). "Prediction of fire resistance of concrete filled tubular steel columns using neural networks." Fire Safety Journal 37(4): 339-352.
Al-Mashouq, K. A. (1997). "Prediction of Neural Net Tolerance to Noise." Neural Processing Letters 5(1): 10.
Al-Qahtani, F. A. (2000). Porosity distribution prediction using artificial neural networks. Morgantown, W. Va., West Virginia University Libraries.
Al-Qahtani, F. A. (2000). "Porosity distribution prediction using artificial neural networks." MAI 39(02): 588.
Al-Rashid, Y. "Isolated Word Recognition of Demodulated Speech (Neural Networks)." DAI, , 59, no. 07B, (1998): 3603.
Al-Rashid, Y. (1995). Short-term electric load forecasting using neural network models: xii, 71 leaves.
Al-Rashidi, A. F. (1999). Designing neural networks for the prediction of the drilling parameters for Kuwait oil and gas fields. Morgantown, W. Va., West Virginia University Libraries.
Al-Rashidi, A. F. (2000). "Designing neural networks for the prediction of the drilling parameters for Kuwait oil and gas fields." MAI 39(06): 1620.
Al-Saba, T. and I. El-Amin (1999). "Artificial neural networks as applied to long-term demand forecasting." Artificial Intelligence in Engineering 13(2): 189-197.
Al-Shayji, K. A. and Y. A. Liu (2002). "Predictive modeling of large-scale commercial water desalination plants: Data-based neural network and model-based process simulation." Industrial & Engineering Chemistry Research 41(25): 6460-6474.
Al-Shehri, A. (1999). "Artificial neural network for forecasting residential electrical energy." International Journal of Energy Research 23(8): 649-661.
Al-Zubi, R. S. "The Use of Artificial Neural Networks in the Prediction of Machine Operational Settings for Injection Molded Parts." DAI, , 59, no. 10B, (1998): 5540.
Al-Zubi, R. S. (1998). "The Use of Artificial Neural Networks in the Prediction of Machine Operational Settings for Injection Molded Parts." DAI 59(10B): 145.
Alamoudi, W. A. (2002). Use of neural networks for prediction of lateral reservoir porosity from seismic acoustic impedance : a case study from Saudi Arabia: xvi, 181 leaves.
Alamoudi, W. A. (2002). "Use of neural networks for prediction of lateral reservoir porosity from seismic acoustic impedance: A case study from Saudi Arabia." DAI 63(04B): 1756.
Alampalayam, S. P. (2001). The design of inter-cell mobility path prediction for wireless internet hosts using artificial neural networks: xi, 86 leaves.
Alampalayam, S. P. (2001). "The design of inter-cell mobility path prediction for wireless Internet hosts using artificial neural networks." MAI 40(01): 187.
Alanen, R. and Valtion teknillinen tutkimuskeskus. (2000). Analysis of electrical energy consumption and neural network estimation and forecasting of loads in a paper mill. Espoo Finland, Technical Research Centre of Finland: 1 v. (various pagings).
Alany, R. G., S. Agatonovic-Kustrin, et al. (1999). "Use of artificial neural networks to predict quaternery phase systems from limited experimental data." Journal Of Pharmaceutical And Biomedical Analysis 19(3-4): 443-452.
Alekseev, K. P. G. and J. M. Seixas (2002). Forecasting the air transport demand for passengers with neural modelling. Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on.
Alex, A. and M. Fionn (1997). "Combining Neural Network Forecasts on Wavelet-transformed Time Series." Connection Science 9(1): 113.
AlFuhaid, A. S., M. A. ElSayed, et al. (1997). "Cascaded artificial neural networks for short-term load forecasting." Ieee Transactions on Power Systems 12(4): 1524-1529.
Alhumaidi, S. M. "Development of a Geophysical Model Function for a Radar Scatterometer Using Neural Networks." DAI, , 58, no. 11B, (1997): 6118.
Ali, H. E. A. (2000). "Neuronet-based liquefaction potential assessment and stress- strain behavior simulation of sandy soils." DAI 61(08B): 4290.
Alippi, C. and V. Piuri (1996). "Experimental neural networks for prediction and identification." Ieee Transactions on Instrumentation and Measurement 45(2): 670-676.
Alippi, C., F. Casamatta, et al. (1999). "NeSS: a simulation environment for behavioral design of neural networks for prediction and control." Integrated Computer-Aided Engineering 6(3): 223-232.
Aljahdali, S. H. (2003). Prediction of software reliability using neural network and fuzzy logic: xiii, 135 leaves.
Alkhal, F. "Artificial Neural Networks for Long-Term Electric Load Modeling and Forecasting." DAI, , 59, no. 12B, (1998): 6477.
Alkhal, F. (1998). "Artificial Neural Networks for Long-Term Electric Load Modeling and Forecasting." DAI 59(12B): 131.
Allen, T. T. "Electronic Models and Methods In: (I) Number Theory of Coupled Neurons. (Ii) Instrumentation for Study of Bumble Bee Sociality (Dynamics, Sociobiology)." DAI, , 46, no. 11B, (1985): 3680.
Allende, H., C. Moraga, et al. (2002). "Artificial neural networks in time series forecasting: A comparative analysis." Kybernetika 38(6): 685-707.
Allende, H., C. Moraga, et al. (2002). Robust Estimator for the Learning Process in Neural Networks applied in Time Series. ICANN 2002.
Allgood, G. O. "Development of a Neural Net Paradigm That Predicts Simulator Sickness (Sensor Fusion)." DAI, , 52, no. 06B, (1991): 3336.
Allgood, G. O. (1991). Development of a neural net paradigm that predicts simulator sickness: xi, 198 leaves.
AlMashouq, K. A. (1997). "Prediction of neural net tolerance to noise." Neural Processing Letters 5(1): 25-34.
Almeida, J. S., A. Sonesson, et al. (1995). "Application of artificial neural networks to the detection of Mycobacterium tuberculosis, its antibiotic resistance and prediction of pathogenicity amongst Mycobacterium spp based on signature lipid biomarkers." Binary-Computing in Microbiology 7(4-6): 159-166.
Almeida, J. S. (2002). "Predictive non-linear modeling of complex data by artificial neural networks." Current Opinion In Biotechnology 13(1): 72-76.
Almutairi, A. M. (2002). Artificial neural network based identification of power system dynamic load model: ix, 72 leaves.
Alon, I., M. Qi, et al. (2001). "Forecasting aggregate retail sales: a comparison of artificial neural networks and traditional methods." Journal of Retailing and Consumer Services 8(3): 147-156.
Alonso-Betanzos, A., O. Fontenla-Romero, et al. (2003). "An intelligent system for forest fire risk prediction and fire fighting management in Galicia." Expert Systems with Applications 25(4): 545-554.
Aloy, P., J. Cedano, et al. (1997). "'TransMem': a neural network implemented in Excel spreadsheets for predicting transmembrane domains of proteins." Computer Applications In The Biosciences: CABIOS 13(3): 231-234.
AlTabtabai, H. and A. P. Alex (1997). "Prediction of cost performance in construction projects using neural networks." Kuwait Journal of Science & Engineering 24(2): 227-240.
Altendorf, C. T. "Estimating Soil Water Content Using Soil Temperatures and a Neural Network." DAI, , 55, no. 02B, (1993): 0502.
Altendorf, C. T., R. L. Elliott, et al. (1999). "Development and validation of a neural network model for soil water content prediction with comparison to regression techniques." Transactions of the Asae 42(3): 691-699.
Altinay, O., E. Tulunay, et al. (1997). "Forecasting of ionospheric critical frequency using neural networks." Geophysical Research Letters 24(12): 1467-1470.
Alvarez, E., C. Riverol, et al. (1999). "Design of a combined mixing rule for the prediction of vapor-liquid equilibria using neural networks." Industrial & Engineering Chemistry Research 38(4): 1706-1711.
Alvarez, E., J. M. Correa, et al. (2000). "Rebuttal to comments on "Design of a combined mixing rule for the prediction of vapor-liquid equilibria using neural networks"." Industrial & Engineering Chemistry Research 39(1): 241-241.
Alvarez, E., J. M. Correa, et al. (2000). "Model based in neural networks for the prediction of the mass transfer coefficients in bubble columns. Study in Newtonian and Non-Newtonian fluids." International Communications in Heat and Mass Transfer 27(1): 93-98.
Alvarez, E., J. M. Correa, et al. (2000). "Model based in neural networks for the prediction of the mass transfer coefficients in bubble columns. Study in Newtonian and non-Newtonianian fluids." International Communications in Heat and Mass Transfer 27(1): 93-98.
Alves, R. M. B., F. H. Quina, et al. "New approach for the prediction of azeotropy in binary systems." Computers & Chemical Engineering In Press, Corrected Proof.
Ambalavanan, N. and W. A. Carlo (1999). "Prediction of extremely low birth weight (ELBW) neonatal mortality by neural networks and logistic regression." Pediatric Research 45(4): 236A-236A.
Ambalavanan, N. and W. A. Carlo (2001). "Comparison of the prediction of extremely low birth weight neonatal mortality by regression analysis and by neural networks." Early Human Development 65(2): 123-137.
Ambrozic, T. and G. Turk (2003). "Prediction of subsidence due to underground mining by artificial neural networks." Computers & Geosciences 29(5): 627-637.
Amjady, N. (2001). "Short-term hourly load forecasting using time-series modeling with peak load estimation capability." Power Systems, IEEE Transactions on 16(3): 498-505.
Amla, A. K. and University of Maryland (College Park Md.). Dept of Civil Engineering. (2001). Airfield pavement condition forecasting using a neural network: 282 leaves.
Anctil, F., C. Perrin, et al. "Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models." Environmental Modelling & Software In Press, Corrected Proof.
Anders, U. A. and O. Korn (1999). "Model selection in neural networks." Neural Networks 12(2): 309-323.
Anderson, J. S. "Nonlinear Dynamical Systems Analysis: Characterization with Neural Networks and Adaptive Bifurcation Detection (Time Series)." DAI, , 59, no. 05B, (1998): 2313.
Anderson, D., E. L. Hines, et al. (1997). "Application of artificial neural networks to the prediction of minor axis steel connections." Computers & Structures 63(4): 685-692.
Anderson, J. S. (1998). "Nonlinear Dynamical Systems Analysis: Characterization with Neural Networks and Adaptive Bifurcation Detection (Time Series)." DAI 59(05B): 180.
Anderson, J. L. (2001). Profiles of successful graduate students using artificial neural networking technology and simultaneous multiple regression: xi, 114 leaves.
Anderson, J. L. (2001). "Profiles of successful graduate students using artificial neural networking technology and simultaneous multiple regression." DAI 62(05A): 1641.
Ando, T., M. Suguro, et al. (2002). "Fuzzy neural network applied to gene expression profiling for predicting the prognosis of diffuse large B-cell lymphoma." Japanese Journal Of Cancer Research: Gann 93(11): 1207-1212.
Andreou, A. S. and G. A. Zombanakis (2000). "Financial versus human resources in the Greek-Turkish arms race: A forecasting investigation using artificial neural networks." Defence and Peace Economics 11(4): 403-426.
Andreou, A. S., G. A. Zombanakis, et al. (2000). "In search of a warning strategy against exchange-rate attacks: Forecasting tactics using artificial neural networks." Discrete Dynamics in Nature and Society 5(2): 121-137.
Andretta, M., A. Eleuteri, et al. (2000). "Neural networks for sulphur dioxide ground level concentrations forecasting." Neural Computing & Applications 9(2): 93-100.
Andrews, W. S. "Modelling the Release of Volatile Fission Products from Nuclear Reactor Fuel under Severe Accident Conditions Using Artificial Neural Networks." DAI, , 56, no. 02B, (1994): 0952.
Angeleri, E., B. Apolloni, et al. (1999). "Articles - DNA Fragment Assembly Using Neural Prediction Techniques." International journal of neural systems 9(6): 22.
Anker, L. S. and P. C. Jurs (1992). "Prediction of C-13 Nuclear-Magnetic-Resonance Chemical-Shifts by Artificial Neural Networks." Analytical Chemistry 64(10): 1157-1164.
Anmala, J. (1996). Prediction of watershed response to precipitation using a physically-based model and artificial neural networks (ANNs): viii, 182 leaves.
Anstett, M., J. F. Kreider, et al. (1993). Application of neural networking models to predict energy use. Atlanta, Ga., American Society of Heating Refrigerating and Air-Conditioning Engineers.
Anstice, P. J. C. and J. F. Alder (1999). "Towards the prediction of the remaining lifetime of a carbon filter bed on hydrogen cyanide challenge using in-bed sensors and a neural network: Preliminary findings." Adsorption Science & Technology 17(9): 771-781.
Ansuj, A. P., M. E. Camargo, et al. (1996). "Sales forecasting using time series and neural networks." Computers & Industrial Engineering 31(1-2): 421-424.
Anzai, A. "Nonlinear Analysis of Binocular Neurons in the Primary Visual Cortex (Stereopsis)." DAI, , 59, no. 03B, (1997): 0995.
Aoki, I. and T. Komatsu (1997). "Analysis and prediction of the fluctuation of sardine abundance using a neural network." Oceanologica Acta 20(1): 81-88.
Aoyama, A. "Modeling and Control of Nonlinear Processes Using Neural Networks and Fuzzy Logic." DAI, , 56, no. 02B, (1994): 0952.
Aprile, D. (1998). "Unionisation in a comparative neural network model: a trade union membership prediction in 12 states." Substance Use & Misuse 33(3): 819-836.
Argirioua, A. A., I. Bellas-Velidisb, et al. (2000). "Development of a neural network heating controller for solar buildings." Neural Networks 13: 811-820.
Arizmendi, C. M., J. R. Sanchez, et al. (1993). "Time-Series Predictions with Neural Nets - Application to Airborne Pollen Forecasting." International Journal of Biometeorology 37(3): 139-144.
Arizmendi, C. M., J. R. Sanchez, et al. (1993). "Time series predictions with neural nets: application to airborne pollen forecasting." International journal of biometeorology 37(3): 139-144.
Arle, J. E., C. Morriss, et al. (1997). "Prediction of posterior fossa tumor type in children by means of magnetic resonance image properties, spectroscopy, and neural networks." Journal Of Neurosurgery 86(5): 755-761.
Armano, G., M. Marchesi, et al. "A hybrid genetic-neural architecture for stock indexes forecasting." Information Sciences In Press, Corrected Proof.
Armano, G., A. Murru, et al. (2002). "Stock market prediction by a mixture of genetic-neural experts." International Journal of Pattern Recognition and Artificial Intelligence 16(5): 501-526.
Armstrong, J. S. (2001). Principles of forecasting : a handbook for researchers and practitioners. Boston ; London, Kluwer Academic.
Arpat, G. B., F. Gumrah, et al. (1998). "The neighborhood approach to prediction of permeability from wireline logs and limited core plug analysis data using backpropagation artificial neural networks." Journal of Petroleum Science and Engineering 20(1-2): 1-8.
Arriagada, J., P. Olausson, et al. (2002). "Artificial neural network simulator for SOFC performance prediction." Journal of Power Sources 112(1): 54-60.
Arrington, K. F. (1993). "Neural Network Temporal Response Predicts Brightness Perceptions in Visual Masking." Investigative Ophthalmology & Visual Science 34(4): 1037-1037.
Arteaga, G. E. and S. Nakai (1993). "Predicting Protein Functionality with Artificial Neural Networks - Foaming and Emulsifying Properties." Journal of Food Science 58(5): 1152-1156.
Artemenko, N. V., Baskin, II, et al. (2001). "Prediction of physical properties of organic compounds using artificial neural networks within the substructure approach." Doklady Chemistry 381(1-3): 317-320.
Artemenko, N. V., Baskin, II, et al. (2003). "Artificial neural network and fragmental approach in prediction of physicochemical properties of organic compounds." Russian Chemical Bulletin 52(1): 20-29.
Arupjyoti, S. and S. Iragavarapu (1998). "New electrotopological descriptor for prediction of boiling points of alkanes and aliphatic alcohols through artificial neural network and multiple linear regression analysis." Computers & Chemistry 22(6): 515-522.
Asada, Y., E. Nakada, et al. (1997). "Prediction of T-c for YBa2Cu3Oz doped with Ca using neural network." Journal of Superconductivity 10(1): 23-26.
Asakawa, K. (1993). "Neurocomputers and Their Applications." Fujitsu Scientific & Technical Journal 29(3): 195-200.
Asfour, Y. R. "Fusion Artmap: Neural Networks for Multi-Sensor Fusion and Classification (Object Recognition)." DAI, , 55, no. 09B, (1995): 3969.
Ashobi, M. "Modeling and Control of a Continuous Crystallization Process Using Neural Networks and Model Predictive Control." DAI, , 58, no. 12B, (1996): 6692.
Ashobi, M. (1998). Modeling and control of a continuous crystallization process using neural networks and model predictive control. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Ashouri, K., M. Amini, et al. (2002). Non-linear prediction of speech signal using artificial neural nets. Eurasia-Ict 2002: Information and Communication Technology, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2510: 212-219.
Asmus, M. A. (2002). Development of an artificial neural network to predict residential energy consumption based on energy performance index and conditioned living area: ix, 62 leaves.
Aso, T., T. Ogawa, et al. (1994). "Application of Backpropagation Neural Computing for the Short-Term Prediction of Solar-Flares." Journal of Geomagnetism and Geoelectricity 46(8): 663-668.
Asogawa, M. (1997). "Beta-sheet prediction using inter-strand residue pairs and refinement with Hopfield neural network." Proceedings / ... International Conference On Intelligent Systems For Molecular Biology ; ISMB. International Conference On Intelligent Systems For Molecular Biology 5: 48-51.
Aston-Jones, G. S. "The Behavioral Physiology of Locus Coeruleus Neurons." DAI, , 42, no. 03B, (1981): 0924.
Athanasiu, G. G. (1997). "Retinal neurocomputing principles for real time track identification." Nuclear Instruments & Methods in Physics Research Section a-Accelerators Spectrometers Detectors and Associated Equipment 389(1-2): 258-263.
Atiya, A., S. El-Shoura, et al. (1997). Application of neural networks to the problem of forecasting the flow of the River Nile. Neural Networks for Signal Processing [1997] VII. Proceedings of the 1997 IEEE Workshop.
Atiya, A., N. Talaat, et al. (1997). An efficient stock market forecasting model using neural networks. IJCNN 1997.
Atiya, A. F., S. M. El-Shoura, et al. (1999). "A comparison between neural-network forecasting techniques - Case study: River flow forecasting." Ieee Transactions on Neural Networks 10(2): 402-409.
Atiya, A. F. (2001). "Bankruptcy prediction for credit risk using neural networks: A survey and new results." Ieee Transactions on Neural Networks 12(4): 929-935.
Atkinson, P. M. and N. J. Tate (1999). Advances in remote sensing and GIS analysis. Chichester ; New York, Wiley.
Attalla, M. and T. Hegazy (2003). "Predicting cost deviation in reconstruction projects: Artificial neural network versus regression." Journal of Construction Engineering and Management-Asce 129(4): 405-411.
Attoh-Okine, N. O. (1999). "Analysis of learning rate and momentum term in backpropagation neural network algorithm trained to predict pavement performance." Advances in Engineering Software 30(4): 291-302.
Auckland, D. W., I. E. D. Pickup, et al. (1995). "Artificial Neural-Network-Based Method for Transient-Response Prediction." Iee Proceedings-Generation Transmission and Distribution 142(3): 323-329.
Auger, M. (2002). "Detection of laser-welding defects using neural networks." MAI 40(04): 1056.
Augustin, A. D. (1995). A neural network methodology for predicting transport properties: xi, 97 leaves.
Augustine, M. P. (1999). An investigation of the weak form of the efficient market hypothesis using neural networks : analyzing IBM common stock price: xi, 129 leaves.
Augustine, M. P. (1999). "An investigation of the weak form of the efficient market hypothesis using neural networks: Analyzing IBM common stock price." DAI 60(11A): 4118.
Aunchaleevarapan, K., K. Paithoonwatanakij, et al. (2003). "Novel method for predicting PCB configurations for near-field and far-field radiated EMI using a Neural Network." Ieice Transactions on Communications E86B(4): 1364-1376.
Aussem, A., F. Murtagh, et al. (1994). "Dynamical recurrent neural networks and pattern recognition methods for time series prediction: Application to seeing and temperature forecasting in the context of ESO's VLT astronomical weather station." Vistas in Astronomy 38(Part 3): 357-374.
Aussem, A., F. Murtagh, et al. (1995). "Dynamical Recurrent Neural Networks - Towards Environmental Time-Series Prediction." International Journal of Neural Systems 6(2): 145-170.
Aussem, A. and F. Murtagh (1997). "Combining Neural Network Forecasts on Wavelet-transformed Time Series." Connection Science 9(1): 113-122.
Aussem, A. (1999). "Dynamical recurrent neural networks towards prediction and modeling of dynamical systems." Neurocomputing 28: 207-232.
Aussem, A. and D. Hill (2000). "Neural-network metamodelling for the prediction of Caulerpa taxifolia development in the Mediterranean sea." Neurocomputing 30(1-4): 71-78.
Awad, W. H. "Modeling Truck Accidents at Highway Interchanges: Prediction Models Using Both Conventional and Artificial Intelligence Approaches: Regression, Neural Networks, and Fuzzy Logic (Traffic Accidents)." DAI, , 58, no. 08B, (1997): 4348.
Awad, W. H. (1997). Modeling truck accidents at highway interchanges prediction models using both conventional and artificial intelligence approaches : regression, neural networks, and fuzzy logic: xiii, 241 leaves (some folded).
Awadallah, A. G. (1999). "Hydro-climatologie globale pour la prevision des crues du nil au moyen de fonctions de transfert avec bruit et de reseaux de neurones artificiels (French and English text)." DAI 61(05B): 2658.
Aweya, J., D. Y. Montuno, et al. (1998). "Congestion Control using a Multi-Step Neural Predictive Technique." Conference record 3: 1705.
Ayala Botto, M. and J. Sa da Costa (1998). "A comparison of nonlinear predictive control techniques using neural network models." Journal of Systems Architecture 44(8): 597-616.
Aymerich, F. and M. Serra (1998). Prediction of fatigue strength of composite laminates by means of neural networks. Experimental Techniques and Design in Composite Materials 3. Zurich-Uetikon, TRANSTEC PUBLICATIONS LTD. 144: 231-239.
Azoff, E. M. (1994). Neural network time series forecasting of financial markets. Chichester ; New York, Wiley.
Azouzi, R. and M. Guillot (1997). "On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion." International Journal of Machine Tools and Manufacture 37(9): 1201-1217.
Azuaje, F., W. Dubitzky, et al. (1999). "Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach." Artificial Intelligence In Medicine 15(3): 275-297.
Baba, N. and M. Kozaki (1992). An intelligent forecasting system of stock price using neural networks. IJCNN 1992, Baltimore, MD, USA.
Baba, N., Y. Mogami, et al. (1994). "A Hybrid Algorithm for Finding the Global Minimum of Error Function of Neural Networks and Its Applications." 7(8): 1253-1265.
Baba, N. and H. Suto (2000). Utilization of artificial neural networks and GAs for constructing an intelligent sales prediction system. Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on.
Babos, C. "Commande De Trajectoire Vitesse D'un Moteur C.C. Par Reseau Neuronique (French Text)." MAI, , 34, no. 05, (1995): 2017.
Babos, C. (1995). "Commande de trajectoire vitesse d'un moteur c.c. par reseau neuronique (French text)." MAI 34(05): 2017.
Bacha, H. and W. Meyer (1992). A neural network architecture for load forecasting. Neural Networks, 1992. IJCNN., International Joint Conference on.
Bachelder, I. A. and A. M. Waxman (1995). "A view-based neurocomputational system for relational map-making and navigation in visual environments." Robotics and Autonomous Systems 16(2-4): 267-289.
Back, B., T. Laitinen, et al. (1996). "Neural Networks and Genetic Algorithms for Bankruptcy Predictions." Expert Systems with Applications 11(4): 407-413.
Badran, F. and S. Thiria (1997). "Neural Network Smoothing in Correlated Time Series Context." Neural Networks 10(8): 1445-1453.
Baeza-Pereyra, J. R. "Computer Based Hybrid Model for Estimating Tunneling Excavation Productivity (Neural Network)." DAI, , 59, no. 02B, (1998): 0768.
Baffi, G., E. Martin, et al. (2002). "Prediction intervals for non-linear projection to latent structures regression models." Chemometrics and Intelligent Laboratory Systems 61(1-2): 151-165.
BagarinaoJr., E., K. Pakdaman, et al. (1999). "Time series-based bifurcation diagram reconstruction." Physica D: Nonlinear Phenomena 130(3-4): 211-231.
Bagli, D. J., S. K. Agarwal, et al. (1998). "Artificial neural networks in pediatric urology: prediction of sonographic outcome following pyeloplasty." The Journal Of Urology 160(2): 980-983; discussion 994.
Bahar, A. and Middle East Technical University. Department of Chemical Engineering. (2003). An artificial neural network estimator design for the inferential model predictive control of an industrial multi-component distillation column. Ankara: 123 l.
Bai, J., S. Wild, et al. "Using neural networks to predict workability of concrete incorporating metakaolin and fly ash." Advances in Engineering Software In Press, Corrected Proof.
Baiardi, P., V. Piazza, et al. (1997). "A neural network model to predict iron-deficiency anemia in hemodialyzed patients." Journal of the American Medical Informatics Association: 907-907.
Baik, J. J. and H. S. Hwang (1998). "Tropical cyclone intensity prediction using regression method and neural network." Journal of the Meteorological Society of Japan 76(5): 711-717.
Baik, J. J. and J. S. Paek (2000). "A neural network model for predicting typhoon intensity." Journal of the Meteorological Society of Japan 78(6): 857-869.
Baines, G. H., R. L. Hayes, et al. (1997). "Predicting boiler emissions with neural networks." Tappi Journal 80(5): 57-61.
Bakal, B. (1995). Temporal processing with neural networks : modeling nuclear reactor core dynamics and prediction of hazardous gas emissions in fossil fuel plants: ix, 74 leaves.
Baker, B. D. "A Comparison of Statistical and Neural Network Models for Forecasting Educational Spending." DAI, , 58, no. 05A, (1997): 1547.
Baker, J. D. "Performance Analysis and Control of Dilute Phase Gas-Solid Systems Employing Neural Networks and Optimization Techniques." DAI, , 58, no. 06B, (1997): 3173.
Baker, M. D., C. D. Himmel, et al. (1995). "In-Situ Prediction of Reactive Ion Etch End-Point Using Neural Networks." Ieee Transactions on Components Packaging and Manufacturing Technology Part A 18(3): 478-483.
Baker, B. D. and C. E. Richards (1999). "A comparison of conventional linear regression methods and neural networks for forecasting educational spending." Economics of Education Review 18(4): 405-415.
Bakirtzis, A. G., J. B. Theocharis, et al. (1995). "Short-Term Load Forecasting Using Fuzzy Neural Networks." Ieee Transactions on Power Systems 10(3): 1518-1524.
Bakirtzis, A. G., V. Petridis, et al. (1996). "A neural network short term load forecasting model for the Greek power system." Ieee Transactions on Power Systems 11(2): 858-863.
Bakker, R., R. J. De Korte, et al. (1997). "Neural networks for prediction and control of chaotic fluidized bed hydrodynamics: A first step." Fractals-an Interdisciplinary Journal on the Complex Geometry of Nature 5(3): 523-530.
Bakshi, B. R. "Multi-Resolution Methods for Modeling, Analysis and Control of Chemical Process Operations (Pattern-Based, Hierarchical Learning, Neural Networks)." DAI, , 53, no. 06B, (1992): 3016.
Bala, A. D. S., M. W. Spitzer, et al. (2003). "Prediction of auditory spatial acuity from neural images on the owl's auditory space map." Nature 424(6950): 771-774.
Balaguer Ballester, E., G. Camps i Valls, et al. (2002). "Effective 1-day ahead prediction of hourly surface ozone concentrations in eastern Spain using linear models and neural networks." Ecological Modelling 156(1): 27-41.
Balasubramanian, S. (1995). Forecasting of arc welding parameters using regression analysis and artificial neural networks: vii, 83 leaves, bound.
Balkin, S. D. and J. K. Ord (2000). "Automatic neural network modeling for univariate time series." International Journal of Forecasting 16(4): 509-515.
Balkin, S. D. (2000). "A statistical implementation of feedforward neural networks for univariate time series forecasting." DAI 61(04A): 1500.
Balkin, S. (2001). "On Forecasting Exchange Rates Using Neural Networks: P.H. Franses and P.V. Homelen, 1998, Applied Financial Economics, 8, 589-596." International Journal of Forecasting 17(1): 139-140.
Ball, B. J. "Using Geographical Information Systems and Neural Networks to Predict Fuel Moisture in Homogeneous Fuels." MAI, , 33, no. 05, (1994): 1440.
Ball, J. W. "Investigations of Automated Methods for Simulating Carbon- 13 Nuclear Magnetic Resonance Spectra (Neural Networks)." DAI, , 54, no. 07B, (1993): 3588.
Ball, J. W. and P. C. Jurs (1993). "Automated Selection of Regression-Models Using Neural Networks for C-13 Nmr Spectral Predictions." Analytical Chemistry 65(5): 505-512.
Ball, B. J. (1997). "Fuel moisture prediction in homogeneous fuels using GIS and neural networks." Ai Applications 11(3): 73-78.
Ballard, D. L. W. (1998). Fatigue life prediction of edge-welded metal bellows using neural networks and multiple linear regression: viii, 46 leaves, bound.
Ballester, E. B., G. C. I. Valls, et al. (2002). "Effective 1-day ahead prediction of hourly surface ozone concentrations in eastern Spain using linear models and neural networks." Ecological Modelling 156(1): 27-41.
Ballini, R., S. Soares, et al. (2001). Multi-step-ahead monthly streamflow forecasting by a neurofuzzy network model. IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th.
Ballou, L. L. "Prediction Intervals and Lack-of-Fit Tests for Neural Networks." DAI, , 59, no. 11B, (1998): 5920.
Ballou, L. L. (1998). Prediction intervals and lack-of-fit tests for neural networks: iv, 104 leaves.
Ballou, L. L. (1998). "Prediction Intervals and Lack-of-Fit Tests for Neural Networks." DAI 59(11B): 104.
Baloch, A. A. "Neural Networks for Behavioral Conditioning of Mobile Robots." DAI, , 51, no. 11B, (1991): 5552.
Baltersee, J. and J. A. Chambers (1998). "Nonlinear adaptive prediction of speech with a pipelined recurrent neural network." Ieee Transactions on Signal Processing 46(8): 2207-2216.
Baluja, S. "Expectation-Based Selective Attention (Focusing, Neural Networks, Saliency Maps, Autonomous Vehicle Control, Hand Tracking, Object Detection, Artificial Intelligence, Wafer Fabrication, Anomaly Detection, Plasma Etch, Face Detection)." DAI, , 57, no. 11B, (1996): 7035.
Banan, M.-R. "Data-Based Mathematical Modeling: Development and Application (Neural Networks, Hierarchical Adaptive Random Partitioning)." DAI, , 56, no. 03B, (1995): 1582.
Bani-Hani, K. A. "Analytical and Experimental Study of Nonlinear Structural Control Using Neural Networks." DAI, , 60, no. 03B, (1998): 1202.
Bank of Canada., N. Gradojevic, et al. (2000). Application of artifical neural networks to exchange rate forecasting : the role of market microstructure variables. Ottawa, Ont., Depository Services Program (Canada).
Bansal, K., S. Vadhavkar, et al. (1998). "Neural networks based forecasting techniques for inventory control applications." Data Mining and Knowledge Discovery 2(1): 97-102.
Baptist, R. P. and Environmental Research Laboratories (U.S.). Office of the Director. (1994). A comparison of neural network and linear regression models for predicting El Nino events. Silver Spring, Md.
Springfield, VA, U.S. Dept. of Commerce National Oceanic and Atmospheric Administration Environmental Research Laboratories Office of the Director ;
For sale by the National Technical Information Service.
Baptist, R. P. (1994). A Comparison of neural network and linear regression models for predicting El Niño events. Silver Spring, Md.
Springfield, VA, U.S. Dept. of Commerce National Oceanic and Atmospheric Administration Environmental Research Laboratories Office of the Director ;
For sale by the National Technical Information Service.
Baptist, R. P. and Environmental Research Laboratories (U.S.). Office of the Director. (1994). A comparison of neural network and linear regression models for predicting El Nino events. Silver Spring, Md.
Springfield, VA, U.S.
For sale by the National Technical Information Service.
Baradaran Aghili, S. M. "Neural Network-Based Recognition of Stability Regions of Two-Dimensional Discrete Recursive Filters (Digital Filters, Learning Algorithm)." DAI, , 52, no. 01B, (1990): 0415.
Baratta, D., G. Cicioni, et al. "Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting." Neural Networks: The Official Journal Of The International Neural Network Society 16(3-4): 375-387.
Baratta, D., G. Cicioni, et al. (2003). "Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting." Neural Networks 16(3-4): 375-387.
Baratti, R., B. Cannas, et al. "River flow forecast for reservoir management through neural networks." Neurocomputing In Press, Corrected Proof.
Baratti, R., B. Cannas, et al. (2003). "River flow forecast for reservoir management through neural networks." Neurocomputing 55(3-4): 421-437.
Barceló, J. and J. Casas (1999). The use of neural networks for short-term prediction of traffic demand.
Bard, J. A. (1999). Use of radial basis function neural network to predict wood pulp freeness: vii, 90 leaves.
Barden, C. J., M. K. Boysworth, et al. (1998). "Neural network correction of PM3-predicted infrared spectra." Journal of Chemical Information and Computer Sciences 38(3): 483-488.
Barghinia, S., P. Ansarimehr, et al. (2001). Short term load forecasting of Iran national power system using artificial neural network. Power Tech Proceedings, 2001 IEEE Porto.
Barlow, T. W. (1995). "Feedforward Neural Networks for Secondary Structure Prediction." Journal of Molecular Graphics 13(3): 175-183.
Barmann, F., T. Gervens, et al. (1993). "Prediction of the Corrosion Behavior of Materials in Highly Concentrated Sulfuric-Acid by Means of Neural Networks." Werkstoffe Und Korrosion-Materials and Corrosion 44(11-12): 467-472.
Barney, D. K. and J. A. Alse (2001). "Predicting LDC debt rescheduling: Performance evaluation of OLS, logit, and neural network models." Journal of Forecasting 20(8): 603-615.
Barr, D. S. and G. Mani (1994). "Using Neural Nets To Manage Investments." AI expert 9(2): 16.
Barreiro, P., V. Steinmetz, et al. (1997). "Neural bruise prediction models for fruit handling and machinery evaluation." Computers and electronics in agriculture 18(2-3): 14.
Barreto, P. S. and R. P. Lemos (2001). ATM traffic prediction using artificial neural networks and wavelet transforms. Networking - Icn 2001, Part Ii, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2094: 668-676.
Barsamian, A. and J. Macias (1998). "Inferential property predictors using neural networks." Hydrocarbon Processing 77(10): 107-+.
Barsamian, A. and J. Macias (1998). "INSTRUMENTATION AND CONTROL - Inferential property predictors using neural networks - Embedding this technology in commercial PC spreadsheets provides a rapid and inexpensive way to produce nonlinear property correlation equations." Hydrocarbon processing 77(10): 10.
Bartell, B. T. "Optimizing Ranking Functions: A Connectionist Approach to Adaptive Information Retrieval (Text Retrieval, Neural Networks)." DAI, , 54, no. 12B, (1994): 6295.
Bartkiewicz, W. (2000). "Reviewed Original Papers - Confidence intervals prediction for the short-term electrical load neural forecasting models." Elektrotechnik und Informationstechnik : E&I 117(1): 5.
Barton, R. S. "Analysis and Rectification of Data from Dynamic Chemical Processes Via Artificial Neural Networks (Data Rectification)." DAI, , 59, no. 01B, (1997): 0316.
Basak, S. C., G. D. Grunwald, et al. "Use of statistical and neural net approaches in predicting toxicity of chemicals." Journal Of Chemical Information And Computer Sciences 40(4): 885-890.
Basheer, I. A. and Y. M. Najjar (1996). "Predicting dynamic response of adsorption columns with neural nets (vol 122, pg 33, 1996)." Journal of Computing in Civil Engineering 10(4): 330-330.
Basheer, I. A. and Y. M. Najjar (1996). "Predicting dynamic response of adsorption columns with neural nets." Journal of Computing in Civil Engineering 10(1): 31-39.
Baskin, II, A. O. Ait, et al. (1997). "The use of artificial neural networks for predicting properties of complex molecular systems. Prediction of the long-wave absorption band of symmetrical cyane dyes." Doklady Akademii Nauk 357(1): 57-59.
Basma, A. A., S. A. Barakat, et al. (1999). "Prediction of cement degree of hydration using artificial neural networks." Aci Materials Journal 96(2): 167-172.
Bastarache, D., N. El-Jabi, et al. (1997). "Predicting conductivity and acidity for small streams using neural networks." Canadian Journal of Civil Engineering 24(6): 1030-1039.
Basu, B., M. P. Singh, et al. (1998). "Prediction of biodegradability of mineral base oils from chemical composition using artificial neural networks." Tribology International 31(4): 159-168.
Basu, S., P. F. Henshaw, et al. (2002). "Prediction of gas-phase adsorption isotherms using neural nets." Canadian Journal of Chemical Engineering 80(3): 506-512.
Bataineh, S., A. AlAnbuky, et al. (1996). "An expert system for unit commitment and power demand prediction using fuzzy logic and neural networks." Expert Systems 13(1): 29-40.
Batra, S. (1993). A new algorithm for protein structure prediction : using neural nets with dynamic programming: vi, 43 leaves.
Battersby, P., J. R. Dean, et al. (1994). "Predicting Solubility in Supercritical-Fluid Extraction Using a Neural-Network." Analyst 119(5): 925-928.
Baughman, D. R. "Neural Networks in Bioprocessing and Chemical Engineering (Process Forecasting, Expert Systems)." DAI, , 56, no. 05B, (1995): 2747.
Baumgartinger, N., C. Krell, et al. (2000). "Application of neural networks for the prediction of multidirectional magnetostriction." Journal of Magnetism and Magnetic Materials 215-216: 617-619.
Baun, S. (1994). Neuronale Netze in der Aktienkursprognose. Neuronale Netze in der Ökonomie. H. Rehkugler and H. G. Zimmermann. München: 131-208.
Bawazeer, K. A. "Prediction of Crude Oil Product Quality Parameters Using Neural Networks." MAI, , 34, no. 06, (1996): 2435.
Bawazeer, K. A. (1996). Prediction of crude oil product quality parameters using neural networks: xiii, 101 leaves.
Bawazeer, K. A. (1996). "Prediction of crude oil product quality parameters using neural networks." MAI 34(06): 2435.
Baxt, W. G. (1992). "Myocardial-Infarction Prediction by Artificial Neural Networks - Reply." Annals of Internal Medicine 116(8): 702-702.
Baxt, W. G., F. S. Shofer, et al. (2002). "A neural computational aid to the diagnosis of acute myocardial infarction." Annals of Emergency Medicine 39(4): 366-373.
Baxter, R. A. "Tracking and Recognizing Objects in Motion: A Neural Networks Approach (Vision Modeling)." DAI, , 53, no. 03B, (1992): 1591.
Baxter, C. W. (2002). "Applications of artificial neural networks in drinking water treatment process modelling and control." DAI 63(05B): 2560.
Bazartseren, B., G. Hildebrandt, et al. "Short-term water level prediction using neural networks and neuro-fuzzy approach." Neurocomputing In Press, Corrected Proof.
Beatty, P. C. W. and D. Young (1996). "Preliminary study of prediction of ICU mortality by artificial neural network." British Journal of Anaesthesia 77(2): P287-P288.
Beaudeau, P., T. Leboulanger, et al. (2001). "Forecasting of turbid floods in a coastal, chalk karstic drain using an artificial neural network." Ground Water 39(1): 109-118.
Beccali, M., M. Cellura, et al. "Forecasting daily urban electric load profiles using artificial neural networks." Energy Conversion and Management In Press, Corrected Proof.
Becerra-Fernandez, I., S. H. Zanakis, et al. (2002). "Knowledge discovery techniques for predicting country investment risk." Computers & Industrial Engineering 43(4): 787-800.
Beckers, M. L. M., W. J. Melssen, et al. (1998). "Predicting nucleic acid torsion angle values using artificial neural networks." Journal of Computer-Aided Molecular Design 12(1): 53-61.
Beckers, M. L., W. J. Melssen, et al. (1998). "Predicting nucleic acid torsion angle values using artificial neural networks." Journal Of Computer-Aided Molecular Design 12(1): 53-61.
Behlouli, H. (1998). "APPRENTISSAGES AUTO-AMELIORANTS ET MODELISATION DE LA DYNAMIQUE TEMPORELLE DE DONNEES EVOLUTIVES PAR RESEAUX DE NEURONES. APPLICATION AU DIAGNOSTIC ET A LA PREDICTION EN ELECTROCARDIOLOGIE QUANTITATIVE Translated: SELF-IMPROVED LEARNING AND MODELLING OF THE TEMPORAL DYNAMICITY OF EVOLUTIVE DATA BY NEURAL NETWORKS. APPLICATION TO DIAGNOSIS AND PREDICTION IN QUANTITATIVE ELECTROCARDIOLOGY." DAI 60(04C): 0786.
Behlouli, H. (1998). "APPRENTISSAGES AUTO-AMELIORANTS ET MODELISATION DE LA DYNAMIQUE TEMPORELLE DE DONNEES EVOLUTIVES PAR RESEAUX DE NEURONES. APPLICATION AU DIAGNOSTIC ET A LA PREDICTION EN ELECTROCARDIOLOGIE QUANTITATIVE Translated Title: SELF-IMPROVED LEARNING AND MODELLING OF THE TEMPORAL DYNAMICITY OF EVOLUTIVE DATA BY NEURAL NETWORKS. APPLICATION TO DIAGNOSIS AND PREDICTION IN QUANTITATIVE ELECTROCARDIOLOGY." DAI 60(04C): 230.
Beight, T. O. and Cleveland State University. Dept. of Electrical Engineering. (1992). Predicting packet-switching network traffic with a neural network.
Bellandi, G., R. Dulmin, et al. "Failure rate neural analysis in the transport sector." Internationa Journal of Operations & Production Management 18: 778-793.
Bellizzi, J. J., III (2000). "Structural studies of palmitoyl-protein thioesterase 1 and the molecular basis of infantile neuronal ceroid lipofuscinosis." DAI 61(04B): 1930.
Bellotti, M., B. Elsner, et al. (1997). "Neural networks as a prognostic tool for patients with non-small cell carcinoma of the lung." Modern Pathology: An Official Journal Of The United States And Canadian Academy Of Pathology, Inc 10(12): 1221-1227.
Belongia, M. T. and J. M. Binner (2000). Divisia monetary aggregates : theory and practice. Houndsmills England ; New York, Palgrave.
Benardos, P. G. and G. C. Vosniakos (2002). "Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments." Robotics and Computer-Integrated Manufacturing 18(5-6): 343-354.
Benne, M., B. Grondin-Perez, et al. (2000). "Artificial neural networks for modelling and predictive control of an industrial evaporation process." Journal of Food Engineering 46(4): 227-234.
Benne, M., B. Grondin- Perez, et al. (2000). "Artificial neural networks for modelling and predictive control of an industrial evaporation process." Journal of Food Engineering 46(4): 227-234.
Berardi, V. L. (1998). "An investigation of neural network ensemble methods for posterior probability estimation." DAI 62(09B): 4069.
Berends, P. T. "Three Essays on the Applications of Neural Networks and Genetic Algorithms in Agricultural Economics (Artificial Intelligence, Pricing)." DAI, , 59, no. 05A, (1998): 1684.
Bergkvist, E. (2000). Estimating value of time and forecasting transport choice in road freight with a non-linear profit specification : the logit model versus neural networks. Umeå, University of Umeå.
Berlyand, L. and A. Kolpakov (2001). "Network approximation in the limit of small interparticle distance of the effective properties of a high-contrast random dispersed composite." Archive for Rational Mechanics and Analysis 159(3): 179-227.
Bershad, N. J., M. Ibnkahla, et al. (1997). "Statistical analysis of a two-layer backpropagation algorithm used for modeling nonlinear memoryless channels: The single neuron case." Ieee Transactions on Signal Processing 45(3): 747-756.
Betarbet, S. R. "Nonlinear Neural Networks, Motion Sensing and Fractional Charge Detection with Silicon P-I-N Structures at 4.2 K (Silicon P-I-N)." DAI, , 55, no. 07B, (1993): 2819.
Betemps, E. J. "Evaluation of Birthplace as a Risk Factor in Motor Neuron Disease and Parkinson's Disease (Multiple Sclerosis)." DAI, , 53, no. 06B, (1992): 2767.
Bezerrra, C. D. and C. J. Hawkyard (2000). "Computer match prediction for fluorescent dyes by neural networks." Journal of the Society of Dyers and Colourists 116(5-6): 163-169.
Bharadwaj, R. M. (2000). "Adaptive state filtering with neural networks for sensorless induction motor speed estimation." DAI 61(11B): 6028.
Bhatt, A. and H. B. Helle (2002). "Committee neural networks for porosity and permeability prediction from well logs." Geophysical Prospecting 50(6): 645-660.
Bhattacharya, A. (2002). Prediction of MPEG-coded video source traffic using neural networks: xviii, 208 leaves.
Bhattacharya, A., A. G. Parlos, et al. (2003). "Prediction of MPEG-coded video source traffic using recurrent neural networks." Ieee Transactions on Signal Processing 51(8): 2177-2190.
Biagiotti, R., C. Desii, et al. (1999). "Predicting ovarian malignancy: application of artificial neural networks to transvaginal and color Doppler flow US." Radiology 210(2): 399-403.
Bibi, H., A. Nutman, et al. (2002). "Prediction of emergency department visits for respiratory symptoms using an artificial neural network." Chest 122(5): 1627-1632.
Bickle, J., C. Worley, et al. (2000). "Vector subtraction implemented neurally: A neurocomputational model of some sequential cognitive and conscious processes." Consciousness and Cognition 9(1): 117-144.
Biederman, I. and P. Kalocsai (1997). "Neurocomputational bases of object and face recognition." Philosophical Transactions of the Royal Society of London Series B-Biological Sciences 352(1358): 1203-1219.
Biglou, J. "Dynamic Recrystallization During Strip Rolling of Hsla Steels and Prediction of Roll Forces Using Artificial Neural Networks." DAI, , 58, no. 10B, (1997): 5599.
Biglou, J. (1998). Dynamic recrystallization during strip rolling of HSLA steels and prediction of roll forces using artificial neural networks. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Bigras, P. "Une Commande Neuronique Appliquee a Un Robot: Etude Et Realisation (French Text, Neural Network, Artificial Intelligence)." MAI, , 34, no. 03, (1993): 1242.
Bigus, J. P. "Adaptive Operating System Control Using Neural Networks (Control Systems)." DAI, , 55, no. 07B, (1993): 2842.
Billings, S. A., H. B. Jamaluddin, et al. (1991). "A Comparison of the Backpropagation and Recursive Prediction Error Algorithms for Training Neural Networks." Mechanical Systems and Signal Processing 5(3): 233-255.
Bini Verona, F. and M. Ceraolo (1998). "Use of neural networks for customer tariff exploitation by means of short-term load forecasting." Neurocomputing 23(1-3): 135-149.
Birchenhall, C. R., H. Jessen, et al. (1999). "Predicting US business-cycle regimes." Journal of Business & Economic Statistics 17(3): 313-323.
Birikundavyi, S., R. Labib, et al. (2002). "Performance of neural networks in daily streamflow forecasting." Journal of Hydrologic Engineering 7(5): 392-398.
Birx, D. L. "The Design of a Neural Network That Performs a Complex Mapping for Phase-Sensitive Detection and Characterization of Eddy Current Impedance Plane Data." DAI, , 52, no. 01B, (1990): 0416.
Bishop, J. M., M. J. Bushnell, et al. (1991). "Application of Neural Networks to Computer Recipe Prediction." Color Research and Application 16(1): 3-9.
Bitzer, S. D. (1992). Error rate predictions for neural network ensembles: viii, 89 leaves.
Bivens, J. A., B. K. Szymanski, et al. (2002). "Network Congestion Arbitration and Source Problem Prediction Using Neural Networks." International Journal of Smart Engineering System Design 4(4): 243-252.
Blackard, J. A. "Comparison of Neural Networks and Discriminant Analysis in Predicting Forest Cover Types." DAI, , 60, no. 03B, (1998): 0894.
Blackard, J. A. (1998). Comparison of neural networks and discriminant analysis in predicting forest cover types: xi, 165 leaves.
Blackard, J. A. (1998). "Comparison of Neural Networks and Discriminant Analysis in Predicting Forest Cover Types." DAI 60(03B): 165.
Blackard, J. A. and D. J. Dean (1999). "Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables." Computers and Electronics in Agriculture 24(3): 131-151.
Blaisdell, C. J., S. R. Weiss, et al. (2002). "Using seasonal variations in asthma hospitalizations in children to predict hospitalization frequency." The Journal Of Asthma: Official Journal Of The Association For The Care Of Asthma 39(7): 567-575.
Blake, J., P. Francino, et al. (1995). "A Comparative-Study for Forecasting Using Neural Networks Vs Genetically Identified Box and Jenkins Models." Neural Computing & Applications 3(3): 139-148.
Blake, R. D. (1996). Analysis of sequence prediction in recurrent neural networks: iii, 34 leaves, bound.
Blankenship, R. J. "Modeling Consumer Choice: An Experimental Comparison of Concept Learning System, Logit, and Artificial Neural Network Models." DAI, , 56, no. 03A, (1994): 1029.
Blum, J. (1992). Model predictive control using artificial neural networks: x, 125 leaves.
Boadu, F. K. (2001). "Predicting oil saturation from velocities using petrophysical models and artificial neural networks." Journal of Petroleum Science and Engineering 30(3-4): 143-154.
Boadu F. K. (2002). "Predicting oil saturation from velocities using petrophysical models and artificial neural networks." Fuel and Energy Abstracts 43(4): 241.
Boardman, I. S. "Neural Network Models of Temporal Processing in Speech Perception and Motor Control." DAI, , 55, no. 11B, (1995): 4727.
Boberg, F., P. Wintoft, et al. (2000). "Real Time Kp Predictions from Solar Wind Data using Neural Networks." Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science 25(4): 275-280.
Boccorh, R. K. and A. Paterson (2002). "An artificial neural network model for predicting flavour intensity in blackcurrant concentrates." Food Quality and Preference 13(2): 117-128.
Bochereau, L., P. Bourgine, et al. (1992). "A Method for Prediction by Combining Data-Analysis and Neural Networks - Application to Prediction of Apple Quality Using near-Infrared Spectra." Journal of Agricultural Engineering Research 51(3): 207-216.
Bock, O. (1989). "A Neural Network Predicting Posterior Parietal Cortex Function in the Control of Goal-Directed Arm Movements." Neural Networks 2(5): 351-358.
Bodor, N., M. J. Huang, et al. (1994). "Neural-Network Studies .3. Prediction of Partition-Coefficients." Theochem-Journal of Molecular Structure 115(3): 259-266.
Bodri, L. and V. Cermak (2000). "Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia." Advances in Engineering Software 31(5): 311-321.
Bodri, L. (2001). "Neural network prediction of monthly precipitation: Application to summer flood occurrence in two regions of Central Europe." Studia Geophysica Et Geodaetica 45(2): 155-167.
Bodri, L. and V. éCermâak (2001). "Neural Network Prediction of Monthly Precipitation: Application to Summer Flood Occurrence in Two Regions of Central Europe." Studia Geophysica et Geodaetica 45(2): 13.
Bodri, L. and V. Cermak (2003). "Prediction of surface air temperatures by neural network, example based on three-year temperature monitoring at Sporilov station." Studia Geophysica Et Geodaetica 47(1): 173-184.
Bodur, S. (1996). Neural network model for predicting corn yield: xi, 55 leaves.
Boettcher, F. A. ""Forward Masking" of Single Neurons in the Cochlear Nucleus." DAI, , 51, no. 03B, (1988): 1132.
Bogullu, V. K. (2002). Intelligent technical analysis using neural networks and fuzzy logic: ix, 46 p.
Bohr, H., J. Bohr, et al. (1990). "A Novel-Approach to Prediction of the 3-Dimensional Structures of Protein Backbones by Neural Networks." Febs Letters 261(1): 43-46.
Bohr, H. G., P. Rogen, et al. (2001). "Applications of neural network prediction of conformational states for small peptides from spectra and of fold classes." Computers & Chemistry 26(1): 65-77.
Boldt, R. F. and R. O. Freedle (1996). Using a neural net to predict item difficulty. Princeton, N.J., Educational Testing Service.
Boll, D., P. M. A. J. Geomini, et al. (2003). "The pre-operative assessment of the adnexal mass: the accuracy of clinical estimates versus clinical prediction rules." BJOG: An International Journal Of Obstetrics And Gynaecology 110(5): 519-523.
Bonis, C., M. J. Tong, et al. (1998). "Construction of a neural network for predicting the development of hepatocellular carcinoma, liver failure or liver transplantation for patients presenting to clinic with chronic hepatitis." Hepatology 28(4): 281A-281A.
Bonnet, D., V. Labouisse, et al. (1997). "delta-NARMA neural networks: A new approach to signal prediction." Ieee Transactions on Signal Processing 45(11): 2799-2810.
Booker, Q. E. "Forecasting Swiss Franc/Dollar Exchange Rates: Comparing Collapsible Neural Networks to Recent Nonparametric Methods and Traditional Statistical Methods (Swiss Franc, Dollar)." DAI, , 59, no. 10A, (1998): 3877.
Booker, Q. E. (1998). Forecasting swiss franc/dollar exchange rates : comparing collapsible neural networks to recent non parametric methods and traditional statistical methods: vii, 334 leaves.
Booker, Q. E. (1998). "Forecasting Swiss Franc/Dollar Exchange Rates: Comparing Collapsible Neural Networks to Recent Nonparametric Methods and Traditional Statistical Methods (Swiss Franc, Dollar)." DAI 59(10A): 334.
Booth, T. D., K. Azzaoui, et al. (1997). "Prediction of chiral chromatographic separations using combined multivariate regression and neural networks." Analytical Chemistry 69(19): 3879-3883.
Borisov, A. N. and V. A. Pavlov (1995). "Continued Function Forecasting with Neural-Network." Avtomatika I Vychislitelnaya Tekhnika(5): 39-50.
Boritz, J. E. and D. B. Kennedy (1995). "Effectiveness of Neural-Network Types for Prediction of Business Failure." Expert Systems with Applications 9(4): 503-512.
Borque, A., G. Sanz, et al. (2001). "The use of neural networks and logistic regression analysis for predicting pathological stage in men undergoing radical prostatectomy: a population based study." The Journal Of Urology 166(5): 1672-1678.
Borque Angel, Allepuz C., et al. (2002). "Neural networks and logistic regression in predicting pathological stage of prostate cancer: design and prospective validation." European Urology Supplements 1(1): 67.
Bortolan, G. and W. Pedrycz (2002). "Linguistic neurocomputing: the design of neural networks in the framework of fuzzy sets." Fuzzy Sets and Systems 128(3): 389-412.
Bos, A. "Artificial Neural Networks as a Tool in Chemometrics." DAI, , 54, no. 07B, (1993): 3588.
Bos, A., M. Bos, et al. (1992). "Artificial Neural Networks as a Tool for Soft-Modeling in Quantitative Analytical-Chemistry - the Prediction of the Water-Content of Cheese." Analytica Chimica Acta 256(1): 133-144.
Bostwick, D. G. and H. B. Burke (2001). "Prediction of individual patient outcome in cancer: comparison of artificial neural networks and Kaplan--Meier methods." Cancer 91(Supplement): 1643-1646.
Bottaci, L., P. J. Drew, et al. (1997). "Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions." Lancet 350(9076): 469-472.
Bottaci, L., P. J. Drew, et al. (1997). "Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions." The Lancet 350(9076): 469-472.
Botto, M. A. and J. S. da Costa (1998). "A comparison of nonlinear predictive control techniques using neural network models." Journal of Systems Architecture 44(8): 597-616.
Botto, M. A., T. J. J. Van den Boom, et al. (1999). "Predictive control based on neural network models with I/O feedback linearization." International Journal of Control 72(17): 1538-1554.
Boudolf, V. A. (1996). Predicting peanut maturity with NMR : an artificial neural network approach: v, 85 leaves.
Bougaardt, G. (2002). An investigation into the application of artificial neural networks and cluster analysis in long-term load forecasting: x, 139 leaves.
Boukadi, F. H. and S. M. AlAlawi (1997). "Analysis and prediction of oil recovery efficiency in limestone cores using artificial neural networks." Energy & Fuels 11(5): 1056-1060.
Bourbia, W. A. (1989). Application of artificial neural networks to business: ix, 127 leaves.
Bowen, W. R., M. G. Jones, et al. (1998). "Prediction of the rate of crossflow membrane ultrafiltration of colloids: A neural network approach." Chemical Engineering Science 53(22): 3793-3802.
Bowen, C. K. (1999). "Adaptive Modeling of Legibility Distance for Symbolic Warning Signs (Neural Networks)." DAI 60(06B): 2777.
Bowen, W. R., M. G. Jones, et al. (2000). "Predicting salt rejections at nanofiltration membranes using artificial neural networks." Desalination 129(2): 147-162.
Boznar, M., M. Lesjak, et al. (1993). "A Neural-Network-Based Method for Short-Term Predictions of Ambient So2 Concentrations in Highly Polluted Industrial-Areas of Complex Terrain." Atmospheric Environment Part B-Urban Atmosphere 27(2): 221-230.
Braban-Ledoux, C. and S. Sundin (2000). "Modele connexionniste pour le suivi de la deformation des chaussees : Application a la prediction de la profondeur des ornieres: Building a deterioration model for pavement management using artificial neural networks : Application to rut depth prediction." Recherche - Transports - Securite 68: 66-82.
Braddock, R. D., M. L. Kremmer, et al. (1998). "Feed-forward artificial neural network model for forecasting rainfall run-off." Environmetrics 9(4): 419-432.
Bradley, P., S. Urwin, et al. (1999). "A neural network accurately predicts 100-day survival after emergency abdominal aortic aneurysm repair in patients admitted to intensive care." British Journal of Anaesthesia 82(5): 791P-791P.
Braga, A. D. (1994). "Predicting Contradictions in the Storage Process of Diluted Recurrent Boolean Neural Networks." Electronics Letters 30(1): 55-56.
Braga, A. P., J. P. Braga, et al. (1997). "Artificial neural network applied for predicting rainbow trajectories in atomic and molecular classical collisions." Journal of Chemical Physics 107(23): 9954-9959.
Brath, A., A. Montanari, et al. (2002). "Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models." Hydrology and Earth System Sciences 6(4): 627-639.
Braunheim, B. B., R. W. Miles, et al. (1999). "Prediction of inhibitor binding free energies by quantum neural networks. Nucleoside analogues binding to trypanosomal nucleoside hydrolase." Biochemistry 38(49): 16076-16083.
Braunheim, B. B., C. K. Bagdassarian, et al. (2000). "Quantum neural networks can predict binding free energies for enzymatic inhibitors." International Journal of Quantum Chemistry 78(3): 195-204.
Brause, R. W. (1999). "Do neural networks revolutionize our predictive abilities?" Zentralblatt Fur Chirurgie 124(8): 692-698.
Braver, T. S., J. D. Cohen, et al. (1995). "Neural-Network Simulations of Schizophrenic Performance in a Variant of the Cpt-Ax - a Predicted Double Dissociation." Schizophrenia Research 15(1-2): 110-110.
Braver, T. S. and J. W. Brown (2003). "Principles of pleasure prediction: Specifying the neural dynamics of human reward learning." Neuron 38(2): 150-152.
Breedlove, K. E. "Temperature Dependent Gating Kinetics of Fast Chloride Channels from Rat Cerebral Cortex Neurons." DAI, , 56, no. 05B, (1995): 2488.
Breedt, M. F. "The Application of Neural Networks to Sales Forecasting: A Marketing Perspective." MAI, , 33, no. 03, (1994): 0747.
Breindl, A., B. Beck, et al. (1997). "Prediction of the n-octanol/water partition coefficient, logP, using a combination of semiempirical MO-calculations and a neural network." Journal of Molecular Modeling 3(3): 142-155.
Breitling, F. (1999). Analysis and prediction of a laser beam position time series by neural networks: ix, 33 leaves.
Brey, T., A. JarreTeichmann, et al. (1996). "Artificial neural network versus multiple linear regression: Predicting P/B ratios from empirical data." Marine Ecology-Progress Series 140(1-3): 251-256.
Brier, M. E. (1993). "Use of Artificial Neural Networks to Predict Pharmacokinetics." Clinical Research 41(3): A662-A662.
Brier, M. E. (1994). "Influence of Clinical Input Variables on Prediction of Drug Concentrations Using an Artificial Neural-Network." Clinical Research 42(3): A394-A394.
Brier, M. E. (1994). "Neural-Network Predictions of Gentamicin Peak and Through." Clinical Pharmacology & Therapeutics 55(2): 160-160.
Brier, M. E., K. M. Erbeck, et al. (1994). "Predicting Dose of Dialysis Using an Artificial Neural-Network - Network-9 Adequacy Study." Journal of the American Society of Nephrology 5(3): 510-510.
Brier, M. E. (1995). "Neural-Network Gentamicin Peak and Trough Predictions from Prior Dosing Data." Clinical Pharmacology & Therapeutics 57(2): 157-157.
Brier, M. E. and G. R. Aronoff (1995). "Neural-Network Predictions of Cyclosporine-a Blood-Concentrations." Clinical Pharmacology & Therapeutics 57(2): 157-157.
Brier, M. E. and J. B. Klein (1995). "Prediction of Delayed Renal-Allograft Function Using Neural Networks." Journal of the American Society of Nephrology 6(3): 1075-1075.
Brier, M. E., J. M. Zurada, et al. (1995). "Neural-Network Predicted Peak and Trough Gentamicin Concentrations." Pharmaceutical Research 12(3): 406-412.
Brier, M. E., J. M. Zurada, et al. (1995). "Neural Network Predicted Peak and Trough Gentamicin Concentrations." Pharmaceutical Research 12(3): 7.
Brier, M. E. and G. R. Aronoff (1996). "Artificial neural networks predict drug dose in renal disease." Journal of the American Society of Nephrology 7(9): A0684-A0684.
Brier, M. E., B. P. Smith, et al. (1996). "Predicting the dose of heparin for dialysis patients using an artificial neural network." Journal of the American Society of Nephrology 7(9): A0789-A0789.
Brigatti, L., W. Rutledge, et al. (1999). "Artificial neural networks to predict and guide LASIK surgery." Investigative Ophthalmology & Visual Science 40(4): S894-S894.
Brinn, M. W., M. P. Payne, et al. (1993). "Neural-Network Prediction of Mutagenicity Using Structure-Property Relationships." Chemical Engineering Research & Design 71(A3): 337-339.
Brion, G. M., T. R. Neelakantan, et al. (2001). "Using neural networks to predict peak Cryptosporidium concentrations." Journal American Water Works Association 93(1): 99-105.
British Computer Society. Specialist Group on Expert Systems. International Conference (18th : 1998 : Cambridge England), R. Milne, et al. (1999). Applications and innovations in expert systems VI : proceedings of ES98, the Eighteenth Annual International Conference of the British Computer Society Specialist Group on Expert Systems, Cambridge, December 1998. London ; New York, Springer.
Brockett, P. L., W. W. Cooper, et al. (1997). "A case study in applying neural networks to predicting insolvency for property and casualty insurers." Journal of the Operational Research Society 48(12): 1153-1162.
Brooks, J. W. and T. J. Sabin (2001). "A comparison of the macromodel and neural network approaches for the prediction of microstructural evolution during hot forging." Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture 215(7): 915-925.
Brosse, S., S. Lek, et al. (1999). "Predicting fish distribution in a mesotrophic lake by hydroacoustic survey and artificial neural networks." Limnology and Oceanography 44(5): 1293-1303.
Broughton, H. B., S. M. Green, et al. (1992). "Prediction of the Histidine-95 Pka Perturbation in Triosephosphate Isomerase Using an Electrostatically Trained Neural Network (Sonnic)." Journal of the Chemical Society-Chemical Communications(17): 1178-1180.
Brown, A. (1994). An evaluation of neural networks as non-linear predictors of speech in the time domain. St Lucia, Qld. ,: 1 v.
Brown, A. S. (2000). "Multi-objective civil structural control incorporating neural networks." DAI 62(04B): 2020.
Brown, J. W. (2001). "Neural network models of reinforcement learning and oculomotor decision-making in the basal ganglia and frontal cortex." DAI 61(11B): 5732.
Browner, W. S. (1992). "Myocardial-Infarction Prediction by Artificial Neural Networks." Annals of Internal Medicine 116(8): 701-701.
Brownstone, D. (1996). "Using percentage accuracy to measure neural network prediction in Stock Market movements." Neurocomputing 10: 237-250.
Brownstone, D. (1996). "Using percentage accuracy to measure neural network predictions in Stock Market movements." Neurocomputing 10(3): 237-250.
Bruce, A. G. and P. M. Wong (2002). "Permeability prediction from well logs using an evolutionary neural network." Petroleum Science and Technology 20(3-4): 317-331.
Bruchmann, A., P. Zinn, et al. (1993). "Prediction of Gas-Chromatographic Retention Index Data by Neural Networks." Analytica Chimica Acta 283(2): 869-880.
Bruneau, P. "Search for predictive generic model of aqueous solubility using Bayesian neural nets." Journal Of Chemical Information And Computer Sciences 41(6): 1605-1616.
Bruneau, P. (2001). "Search for predictive generic model of aqueous solubility using Bayesian neural nets." Journal of Chemical Information and Computer Sciences 41(6): 1605-1616.
Brusic, V., G. Rudy, et al. (1998). "Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network." Bioinformatics 14(2): 121-130.
Brusic, V., G. Rudy, et al. (1998). "Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network." Bioinformatics (Oxford, England) 14(2): 121-130.
Bryce, T. J., M. W. Dewhirst, et al. (1997). "An artificial neural network predictive model of survival in patients treated for advanced carcinoma of the head and neck." Radiology 205: 1419-1419.
Buck, S., T. Schmitt, et al. (2002). Reliable multi-robot coordination using minimal communication and neural prediction. Advances in Plan-Based Control of Robotic Agents. Berlin, SPRINGER-VERLAG BERLIN. 2466: 36-51.
Buck, S., T. Schmitt, et al. (2002). "Reliable Multi-robot Coordination Using Minimal Communication and Neural Prediction." Lecture notes in computer science(2466): 36-51.
Buckley, M. E. and S. B. Wicker (1999). "A neural network for predicting decoder error in turbo decoders." Ieee Communications Letters 3(5): 145-147.
Buckley, M. E. and S. B. Wicker (2000). "The design and performance of a neural network for predicting turbo decoding error with application to hybrid ARQ protocols." Ieee Transactions on Communications 48(4): 566-576.
Bucolo, M., L. Fortuna, et al. (2002). "Prediction models for the corrosion phenomena in Pulp & Paper plant." Control Engineering Practice 10(2): 227-237.
Buenfeld, N. R. and N. M. Hassanein (1998). "Predicting the life of concrete structures using neural networks." Proceedings of the Institution of Civil Engineers-Structures and Buildings 128(1): 38-48.
Buffa, F. and I. Porceddu (1997). "Temperature forecast and dome seeing minimization - I. A case study using a neural network model." Astronomy & Astrophysics Supplement Series 126(3): 547-553.
BuHamra, S., N. Smaoui, et al. (2003). "The Box-Jenkins analysis and neural networks: prediction and time series modelling." Applied Mathematical Modelling 27(10): 805-815.
Buhusi, C. V. (1999). "Contradictory Effects of Dopaminergic Drugs on Latent Inhibition: From Computational Hypothesis to Experimental Test (Haloperidol, Compound-Stimulus, Neural Networks)." DAI 60(05B): 2392.
Bui, L. N. (1999). "Application of neural network analysis to the thickness- shear mode chemical sensor." DAI 62(04B): 1841.
Bullock, R. S. B. (1999). "Forecasting bankruptcy to promote organizational survival: A comparison of neural network and discriminant analysis methodologies." DAI 60(11A): 4082.
Bulsari, A. B. and H. Saxen (1991). "Artificial Neural Networks for Predicting Silicon Content in Raw Iron from Blast-Furnaces." Lecture Notes in Computer Science 497: 642-644.
Bulsari, A. B. and H. Saxen (1994). "Application of Artificial Neural Networks for Filtering, Smoothing and Prediction for a Biochemical Process." Expert Systems 11(3): 159-166.
Bumroonggit, G. "Short-Term Electric Load Forecasting Using Neural Network with Fuzzy Set Based Classification (Weather Forecasting)." DAI, , 56, no. 07B, (1995): 3913.
Bunz, A. P., B. Braun, et al. (1998). "Application of quantitative structure-performance relationship and neural network models for the prediction of physical properties from molecular structure." Industrial & Engineering Chemistry Research 37(8): 3043-3051.
Bunz, A. P., B. Braun, et al. (1999). "Quantitative structure-property relationships and neural networks: correlation and prediction of physical properties of pure components and mixtures from molecular structure." Fluid Phase Equilibria 158-160: 367-374.
Burden, F. R. (1996). "Using artificial neural networks to predict biological activity from simple molecular structural considerations." Quantitative Structure-Activity Relationships 15(1): 7-11.
Burden, F. R., B. S. Rosewarne, et al. (1997). "Predicting maximum bioactivity by effective inversion of neural networks using genetic algorithms." Chemometrics and Intelligent Laboratory Systems 38(2): 127-137.
Burdenab, F. R., R. G. Breretonb, et al. (1997). "Cross-validatory Selection of Test and Validation Sets in Multivariate Calibration and Neural Networks as Applied to Spectroscopy." Analyst 122: 1015-1022.
Burgess, A. N. and A. P. N. Refenes (1999). "Modelling non-linear moving average processes using neural networks with error feedback: An application to implied volatility forecasting." Signal Processing 74(1): 89-99.
Burgess, A. N. and A.-P. N. Refenes (1999). "Modelling non-linear moving average processes using neural networks with error feedback: An application to implied volatility forecasting." Signal Processing 74(1): 89-99.
Burgoon, M. P. "Structure of the Chicken Neuron-Glia Cell Adhesion Molecule, Ng-Cam: Origin of the Polypeptides and Relation to the Ig Superfamily." DAI, , 52, no. 11B, (1991): 5682.
Burke, L. I., R. H. Storer, et al. (1996). "A neural-network approach to prediction of vehicle driving comfort." Iie Transactions 28(6): 439-452.
Burke, H. B., P. H. Goodman, et al. (1997). "Artificial neural networks improve the accuracy of cancer survival prediction." Cancer 79(4): 857-862.
Burnett, C. C. H. "Application of Neural Networks to Mineral Reserve Estimation." DAI, , 57, no. 02C, (1995): 0678.
Burns, J. A. "Application of Feed-Forward Neural Networks to Problems in Chemistry (Neural Networks)." DAI, , 54, no. 06B, (1993): 3027.
Burns, J. A. and G. M. Whitesides (1992). "Applying Neural Networks to the Prediction of the Solubilities of Ionic Salts." Abstracts of Papers of the American Chemical Society 203: 47-COMP.
Burton, H. M. P. (1999). "Reservoir inflow forecasting using time series and neural network models." MAI 39(03): 888.
Burton, H. (2001). Reservoir inflow forecasting using time series and neural network models. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Buskard, T. T. "Estimating Duration of Ventilation, Length of Stay, and Mortality in the Intensive Care Unit Using Artificial Neural Networks." MAI, , 35, no. 06, (1995): 1853.
Butera, R. J. J. "Analysis and Reduction of a Modeled Bursting Neuron (Nullclines, Action Potentials)." DAI, , 57, no. 05B, (1996): 3060.
Butera, R. J., Jr. (1996). "Analysis and reduction of a modeled bursting neuron." DAI 57(05B): 3060.
Butler, K. G. and A. L. Foundas (2001). The Neural basis of language : current neuroimaging perspectives. Frederick, Md., Aspen Publishers.
Cacciafesta, M., F. Campana, et al. (2001). "Neural network analysis in predicting 2-year survival in elderly people: a new statistical-mathematical approach." Archives of Gerontology and Geriatrics 32(1): 35-44.
Caciotta, M., R. Lamedica, et al. (1997). "Application of artificial neural networks to historical data analysis for short-term electric load forecasting." European Transactions on Electrical Power 7(1): 49-56.
Cai, Y. and C. Chen (1994). "Prediction of Intron and Exon Sequence in Eukaryotic Gene by Neural-Network Approach." Faseb Journal 8(7): A1445-A1445.
Cai, Y., B. Zhou, et al. (1994). "Prediction of Intron and Exon Sequence in Eukaryotic Gene by Neural-Network Approach." Biophysical Journal 66(2): A232-A232.
Cai, Y. (1995). "Technical Note - the Application of an Artificial Neural-Network to the Prediction of Multimetallic Deposits." Journal of the South African Institute of Mining and Metallurgy 95(5): 207-209.
Cai, Y. (1995). "Artificial Neural-Network Method for Soil-Erosion Forecasting." Bodenkultur 46(1): 19-24.
Cai, Y. D. and K. C. Chou (1996). "Artificial neural network model for predicting the specificity of GalNAc-transferase." Analytical Biochemistry 243(2): 284-285.
Cai, Y.-D. and K.-C. Chou (1996). "Artificial Neural Network Model for Predicting the Specificity of GalNAc-transferase." Analytical Biochemistry 243(2): 284-285.
Cai, Y. D., H. Yu, et al. (1997). "Artificial neural network method for predicting the specificity of GalNAc-transferase." Journal Of Protein Chemistry 16(7): 689-700.
Cai, Y. and P. Bork (1998). "Homology-Based Gene Prediction Using Neural Nets." Analytical Biochemistry 265(2): 6.
Cai, Y. D. and P. Bork (1998). "Homology-based gene prediction using neural nets." Analytical Biochemistry 265(2): 269-274.
Cai, Y. D. and K. C. Chou (1998). "Artificial neural network model for predicting HIV protease cleavage sites in protein." Advances in Engineering Software 29(2): 119-128.
Cai, Y. D., H. Yu, et al. (1998). "Artificial neural network method for predicting HIV protease cleavage sites in protein." Journal Of Protein Chemistry 17(7): 607-615.
Cai, Y.-D. and K.-C. Chou (1998). "Artificial neural network model for predicting HIV protease cleavage sites in protein." Advances in Engineering Software 29(2): 119-128.
Cai, C. (1999). "Application of Wavelet Transform and Cascade Correlation Neural Networks to Mass and Ion Mobility Spectra (Neural Networks)." DAI 60(08B): 3907.
Cai, Y. D., Y. X. Li, et al. (1999). "Classification and prediction of beta-turn types by neural network." Advances in Engineering Software 30(5): 347-352.
Cai, Y.-D., Y.-X. Li, et al. (1999). "Classification and prediction of [beta]-turn types by neural network." Advances in Engineering Software 30(5): 347-352.
Cai, Y. D. and K. C. Chou (1999). "Artificial neural network model for predicting alpha-turn types." Analytical Biochemistry 268(2): 407-409.
Cai, Y.-D. and K.-C. Chou (1999). "Artificial Neural Network Model for Predicting [alpha]-Turn Types." Analytical Biochemistry 268(2): 407-409.
Cai, Y. D. and G. P. Zhou (2000). "Prediction of protein structural classes by neural network." Biochimie 82(8): 783-785.
Cai, Y. D. and K. C. Chou (2000). "Using neural networks for prediction of subcellular location of prokaryotic and eukaryotic proteins." Molecular Cell Biology Research Communications: MCBRC 4(3): 172-173.
Cai, Y.-D. and K.-C. Chou (2000). "Using Neural Networks for Prediction of Subcellular Location of Prokaryotic and Eukaryotic Proteins." Molecular Cell Biology Research Communications 4(3): 172-173.
Cai, Y. and G. Zhou (2000). "Prediction of protein structural classes by neural network." Biochimie 82(8): 783-785.
Cai, Y.-D. and G.-P. Zhou (2000). "Prediction of protein structural classes by neural network." Biochimie 82(8): 783-785.
Cai, Y. D., Y. X. Li, et al. (2000). "Using neural networks for prediction of domain structural classes." Biochimica Et Biophysica Acta 1476(1): 1-2.
Cai, Y.-D., Y.-X. Li, et al. (2000). "Using neural networks for prediction of domain structural classes." Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology 1476(1): 1-2.
Cai, Y. D., X. J. Liu, et al. (2001). "Artificial neural network model for predicting membrane protein types." Journal Of Biomolecular Structure & Dynamics 18(4): 607-610.
Cai, Y. D., X. J. Liu, et al. (2002). "Artificial neural network model for predicting protein subcellular location." Computers & Chemistry 26(2): 179-182.
Cai, Y. D., X. J. Liu, et al. (2002). "Artificial neural network method for predicting protein secondary structure content." Computers & Chemistry 26(4): 347-350.
Cai, Y.-D., X.-J. Liu, et al. (2002). "Support vector machines for the classification and prediction of beta-turn types." Journal Of Peptide Science: An Official Publication Of The European Peptide Society 8(7): 297-301.
Cai, Y.-D., X.-J. Liu, et al. (2002). "Artificial neural network method for predicting protein secondary structure content." Computers & Chemistry 26(4): 347-350.
Cai, Y.-D., X.-J. Liu, et al. (2002). "Artificial neural network method for predicting protein secondary structure content." Computers & Chemistry 26(4): 347-350.
Cai, Y.-D., X.-J. Liu, et al. (2002). "Prediction of protein structural classes by support vector machines." Computers & Chemistry 26(3): 293-296.
Cai, Y.-D., X.-J. Liu, et al. (2002). "Artificial neural network model for predicting protein subcellular location." Computers & Chemistry 26(2): 179-182.
Cai, Y. D., X. J. Liu, et al. (2003). "Prediction of protein secondary structure content by artificial neural network." Journal of Computational Chemistry 24(6): 727-731.
Cai, Y.-D., X.-J. Liu, et al. (2003). "Prediction of protein secondary structure content by artificial neural network." Journal Of Computational Chemistry 24(6): 727-731.
Caire, P., G. Hatabian, et al. (1992). Progress in forecasting by neural networks. Neural Networks, 1992. IJCNN., International Joint Conference on.
Calcaterra, S., G. Campana, et al. (2000). "Prediction of mechanical properties in spheroidal cast iron by neural networks." Journal of Materials Processing Technology 104(1-2): 74-80.
Callen, J. L., C. C. Y. Kwan, et al. (1996). "Neural network forecasting of quarterly accounting earnings." International Journal of Forecasting 12(4): 475-482.
Callen, J. L., C. C. Y. Kwan, et al. (1996). "Neural network forecasting of quarterly accounting earnings." International journal of forecasting 12(4): 8.
Callen, J. L., C. C. Y. Kwan, et al. (1996). "Neural network forecasting of quarterly accounting earnings*1." International Journal of Forecasting 12(4): 475-482.
Calvert, D. A. "A Distance-Based Neural Network Model for Sequence Processing." DAI, , 59, no. 09B, (1998): 5057.
Calvo, R. A., H. A. Ceccatto, et al. (1995). "Neural-Network Prediction of Solar-Activity." Astrophysical Journal 444(2): 916-921.
Calvo, R. A., H. A. Ceccatto, et al. (1995). "Neural Network Prediction of Solar Activity." The Astrophysical journal 444(2 1): 6.
Camastra, F. and A. M. Colla (1999). "Neural Short-Term Prediction Based on Dynamics Reconstruction." Neural Processing Letters 9(1): 8.
Cameron, D., P. Kneale, et al. (2002). "An evaluation of a traditional and a neural net modelling approach to flood forecasting for an upland catchment." Hydrological Processes 16(5): 1033-1046.
Cammarata, G., S. Cavalieri, et al. (1995). "A Neural-Network Architecture for Noise Prediction." Neural Networks 8(6): 963-973.
Cammarata, G., S. Cavalieri, et al. (1995). "A Neural Network Architecture for Noise Prediction." Neural Networks 8(6): 963-973.
Cammarata, L., A. Fichera, et al. (2002). "Neural prediction of combustion instability." Applied Energy 72(2): 513-528.
Campolo, M., P. Andreussi, et al. (1999). "River flood forecasting with a neural network model." Water Resources Research 35(4): 1191-1197.
Campolo, M., A. Soldati, et al. (1999). "Forecasting river flow rate during low-pow periods using neural networks." Water Resources Research 35(11): 3547-3552.
Campolo, M., A. Soldati, et al. (2003). "Artificial neural network approach to flood forecasting in the River Arno." Hydrological Sciences Journal-Journal Des Sciences Hydrologiques 48(3): 381-398.
Camps-Valls, G., B. Porta-Tra, et al. (2003). "Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks." Ieee Transactions on Biomedical Engineering 50(4): 442-448.
Camps-Valls, G., B. Porta-Oltra, et al. (2003). "Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks." IEEE Transactions On Bio-Medical Engineering 50(4): 442-448.
Can, H. J. L. V., H. A. B. t. Braake, et al. (1995). "Design and real time testing of a neural model predictive controller for a nonlinear system." Chemical engineering science 50(15): 12.
Canali, L. (1995). "Predict by Neuralware - an Automated Tool for Building Neural Networks." Ieee Expert-Intelligent Systems & Their Applications 10(3): 63-64.
Canarelli, P. (1995). "Analysing the past and managing the future using neural networks." Futures 27(3): 325-338.
Cander, L. R., M. M. Milosavljevic, et al. (1998). "Ionospheric forecasting technique by artificial neural network." Electronics Letters 34(16): 1573-1574.
Cander, L. R., R. Hanbaba, et al. (2000). I. Neural networks in solar-terrestrial sciences. Oxford
New York, Pergamon ;
Elsevier Science.
Cander, L. R. (2003). "Towards forecasting and mapping ionospheric space weather under cost actions." Advances in Space Research 31(4): 957-964.
Candes, E. J. "Ridgelets: Theory and Applications (Neural Networks, Dimensionality, Admissibility)." DAI, , 59, no. 10B, (1998): 5426.
Cannas, B., S. Cincotti, et al. (1998). "Performance analysis of locally recurrent neural networks." The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 17(5): 708-716.
Cannon, M. and J.-J. E. Slotine (1995). "Space-frequency localized basis function networks for nonlinear system estimation and control." Neurocomputing 9(3): 293-342.
Cannon, A. J. and I. G. McKendry (1999). "Forecasting all-India summer monsoon rainfall using regional circulation principal components: A comparison between neural network and multiple regression models." International Journal of Climatology 19(14): 1561-1578.
Cannon, A. J. and E. R. Lord (2000). "Forecasting summertime surface-level ozone concentrations in the Lower Fraser Valley of British Columbia: an ensemble neural network approach." Journal Of The Air & Waste Management Association (1995) 50(3): 322-339.
Cannon, A. J. and I. G. McKendry (2002). "A graphical sensitivity analysis for statistical climate models: Application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression models." International Journal of Climatology 22(13): 1687-1708.
Cantera, C., J. Jimenez, et al. (2002). "Hot metal temperature prediction by neural networks in the blast furnace." Revista De Metalurgia 38(4): 243-248.
Canu, S., Y. Grandvalet, et al. (1995). One step ahead forecasting using Multilayered perceptron, U.R.A. C.N.R.S. 817 Universit'e de Technologie de Compiegne Centre de Recherches de Royallieu B.P. 529, 60205: 1-33.
Cao, W. E. I. "Local Minima of Backpropagation Neural Networks for Pattern Classification." DAI, , 58, no. 05B, (1996): 2572.
Cao, J. (2002). "Neural network and analytical modeling of slope stability." DAI 63(08B): 3825.
Cao, L. (2003). "Support vector machines experts for time series forecasting." Neurocomputing 51: 321-339.
Capodaglio, A. G., H. V. Jones, et al. (1991). "Sludge Bulking Analysis and Forecasting - Application of System-Identification and Artificial Neural Computing Technologies." Water Research 25(10): 1217-1224.
Capodaglio, A. G., H. V. Jones, et al. (1991). "Sludge bulking analysis and forecasting: Application of system identification and artificial neural computing technologies." Water Research 25(10): 1217-1224.
Caporaletti, L. E., R. E. Dorsey, et al. (1994). "A Decision-Support System for in-Sample Simultaneous Equation Systems Forecasting Using Artificial Neural Systems." Decision Support Systems 11(5): 481-495.
Caporaletti, L. E., R. E. Dorsey, et al. (1994). "A decision support system for in-sample simultaneous equation systems forecasting using artificial neural systems." Decision Support Systems 11(5): 481-495.
Cappa, C., D. Anfossi, et al. (2001). "Short-term prediction of urban NO2 pollution by means of artificial neural networks." International Journal of Environment and Pollution 15(5): 483-496.
Carbone, V. and G. Piras (1998). "Palomar project: predicting school renouncing dropouts, using the artificial neural networks as a support for educational policy decisions." Substance Use & Misuse 33(3): 717-750.
Carley, M. P. "Dynamic Neural Networks for Time Series Modeling with Application to Power System Fault Detection." DAI, , 58, no. 07B, (1997): 3811.
Carley, M. P. (1997). Dynamic neural networks for time series modeling with application to power system fault detection: xii, 180 p.
Carmichael, C. G. (2001). A study of the accuracy, completeness, and efficiency of artificial neural networks and related inductive learning techniques: 220 leaves.
Carmichael, C. G. (2001). "A study of the accuracy, completeness, and efficiency of artificial neural networks and related inductive learning techniques." DAI 62(06B): 2787.
Carmona, D., M. A. Jaramillo, et al. (2002). Electric energy demand forecasting with neural networks. IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the].
Carnahan, B., R. C. Warner, et al. (2000). "Predicting glass furnace output using statistical and neural computing methods." International Journal of Production Research 38(6): 1255-1269.
Carpenter, G. A. and S. Grossberg (1992). "A Self-Organizing Neural Network for Supervised Learning, Recognition, and Prediction." Ieee Communications Magazine 30(9): 38-49.
Carpenter, G. A., S. Grossberg, et al. (1993). A neural network architecture for autonomous learning, recognition, and prediction in a nonstationary world. Boston, MA, Boston University Center for Adaptive Systems and Dept. of Cognitive and Neural Systems.
Carpenter, G. A., W. D. Ross, et al. (1993). ART-EMAP : a neural network architecture for learning and prediction by evidence accumulation. Boston, MA, Boston University Center for Adaptive Systems and Dept. of Cognitive and Neural Systems.
Carpenter, G. A., S. Grossberg, et al. (1993). Integrating symbolic and neural processing in a self-organizing architecture for pattern recognition and prediction. Boston, MA, Boston University Center for Adaptive Systems and Dept. of Cognitive and Neural Systems.
Carpenter, G. A., S. Grossberg, et al. (1994). Learning, categorization, rule formation, and prediction by fuzzy neural networks. Boston, MA, Boston University Center for Adaptive Systems and Dept. of Cognitive and Neural Systems.
Carpenter, G. A., Boston University. Center for Adaptive Systems., et al. (1996). ART and ARTMAP neural networks for applications : self-organizing learning, recognition, and prediction. Boston, MA, Boston University Center for Adaptive Systems and Dept. of Cognitive and Neural Systems.
Carpenter, G. A., Boston University. Center for Adaptive Systems., et al. (1996). Distributed learning, recognition, and prediction by ART and ARTMAP neural networks. Boston, MA, Boston University Center for Adaptive Systems and Dept. of Cognitive and Neural Systems.
Carpenter, G. A. (1997). "Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks." Neural Networks 10(8): 1473-1494.
Carpinteiro, O. A. S., A. J. R. Reis, et al. "A hierarchical neural model in short-term load forecasting." Applied Soft Computing In Press, Corrected Proof.
Carr, T. J., W. R. Danter, et al. (1995). "Artificial Neural-Network Prediction of the Presence or Absence of Renal-Artery Stenosis in Hypertensive Patients Undergoing Isotope Renography." Radiology 197: 215-215.
Carson, A., E. Bizot, et al. (1999). "Modeling Career Counselor Decisions with Artificial Neural Networks: Predictions of Fit across a Comprehensive Occupational Map." Journal of Vocational Behavior 54(1): 18.
Carson, A. D., E. B. Bizot, et al. (1999). "Modeling Career Counselor Decisions with Artificial Neural Networks: Predictions of Fit across a Comprehensive Occupational Map, ,." Journal of Vocational Behavior 54(1): 196-213.
Carter, J. H. (1992). "Myocardial-Infarction Prediction by Artificial Neural Networks." Annals of Internal Medicine 116(8): 701-702.
Cartwright, A. D., I. S. Curthoys, et al. (1999). "Testable predictions from realistic neural network simulations of vestibular compensation: integrating the behavioural and physiological data." Biological Cybernetics 81(1): 73-87.
Cartwright, A. D., I. S. Curthoys, et al. (1999). "Testable predictions from realistic neural network simulations of vestibular compensation: integrating the behavioural and physiological data." Biological Cybernetics 81(1): 73-87.
Casadio, R., M. Compiani, et al. "Protein structure prediction and biomolecular recognition: from protein sequence to peptidomimetic design with the human beta3 integrin." SAR And QSAR In Environmental Research 13(3-4): 473-486.
Casadio, R., P. Fariselli, et al. (1992). "Prediction of Secondary Structures of Membrane-Proteins with Neural Networks." Faseb Journal 6(1): A350-A350.
Casadio, R., P. Fariselli, et al. (1994). "Prediction of Transmembrane Domains of Proteins with Neural Networks." Biophysical Journal 66(2): A63-A63.
Casadio, R., P. Fariselli, et al. (1996). "A predictor of transmembrane alpha-helix domains of proteins based on neural networks." European Biophysics Journal: EBJ 24(3): 165-178.
Casadio, R., M. Compiani, et al. (2000). "Neural networks predict protein folding and structure: artificial intelligence faces biomolecular complexity." SAR And QSAR In Environmental Research 11(2): 149-182.
Casas, I. (2002). "Towards a learning ATIS: Intelligence-assisted travel decision support system using neural networks." DAI 63(01A): 312.
Casey, M. P. "Computation in Discrete-Time Dynamical Systems (Neural Networks)." DAI, , 56, no. 06B, (1995): 3224.
Casler, C. (2002). Using artificial neural network simulators to predict seafloor bathymetry from gravity data: x, 78 leaves.
Cassata, J. R. "Improved Personnel Dosimetry Using Copper Doped Lithium Fluoride Thermoluminescent Dosimeters and Neural Network Algorithms." DAI, , 58, no. 06B, (1997): 3127.
Castillo, O. and P. Melin (2001). "Simulation and forecasting complex financial time series using neural networks and fuzzy logic." IEEE International Conference on Systems, Man, and Cybernetics, 2001 4: 2664-2669.
Castillo, O. and P. Melin (2002). "Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory." Ieee Transactions on Neural Networks 13(6): 1395-1408.
Castillo, O. and P. Melin (2002). "Hybrid and Knowledge-Based Networks - Hybrid Intelligent Systems for Time Series Prediction Using Neural Networks, Fuzzy Logic, and Fractal Theory." IEEE transactions on neural networks 13(6): 14.
Catfolis, T. Y. "Artificial Neural Networks in the Process Industry: Concepts and Applications (Rtrl, Control)." DAI, , 58, no. 02C, (1996): 0693.
Catto J. W. E., Linkens D. A., et al. (2003). "The application of artificial intelligence in predicting outcome of bladder cancer: A comparison of neuro-fuzzy modelling and artificial neural networks." European Urology Supplements 2(1): 66.
Caulkins, J., J. Cohen, et al. (1996). "Predicting criminal recidivism: A comparison of neural network models with statistical methods." Journal of Criminal Justice 24(3): 227-240.
Caulkins, J., J. Cohen, et al. (1996). "Predicting criminal recidivism: A comparison of neural network models with statistical methods." Journal of Criminal Justice 24(3): 227-240.
Caulkins, J., J. Cohen, et al. (1999). "Predicting criminal recidivism: A comparison of neural network models with statistical methods. (vol 24, pg 227, 1996)." Journal of Criminal Justice 27(4): 387-387.
Cavanagh, J. P. "Holographic Processes Realizable in the Neural Realm: Prediction of Short Term Memory Performance." DAI, , 33, no. 07B, (1972): 3280.
Cavazos Perez, M. T. "Downscaling Large-Scale Circulation to Local Winter Climate Using Neural Network Techniques (Climate Prediction, Self Organizing Map)." DAI, , 59, no. 06B, (1998): 2807.
Cavazos Perez, M. T. (1998). "Downscaling Large-Scale Circulation to Local Winter Climate Using Neural Network Techniques (Climate Prediction, Self Organizing Map)." DAI 59(06B): 128.
Cefrey, H. (2001). Hallucinogens and your neurons : the incredibly disgusting story. New York, Rosen Central.
Cence, J. M., B. Diawara, et al. (1994). "Neural networks prediction of partition coefficients." Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society 23(2): 301-308.
Cense, J. M., B. Diawara, et al. (1994). "Neural Networks Prediction of Partition-Coefficients." Chemometrics and Intelligent Laboratory Systems 23(2): 301-308.
Cerullo, M. J. and V. Cerullo (1999). "Using neural networks to predict financial reporting fraud: Part 2." Computer Fraud & Security 1999(6): 14-17.
Cerullo, M. J. and V. Cerullo (1999). "Using Neural Networks to Predict Financial Reporting Fraud: Part 1." Computer Fraud & Security 1999(5): 14-17.
Ceylan, H. (2002). "Analysis and design of concrete pavement systems using artificial neural networks." DAI 63(11B): 5381.
Cha, S. "Optimization and Prediction of Shrinkage of Thin-Wall Injection Molded Parts by Cae and Artificial Neural Networks." DAI, , 57, no. 04B, (1996): 2849.
Cha, S. and F. S. Lai (1996). Optimization and prediction of shrinkage of thin-wall injection molded parts by CAE and artificial neural networks: xii, 143 leaves.
Cha, S. (1996). "Optimization and prediction of shrinkage of thin-wall injection molded parts by CAE and artificial neural networks." DAI 57(04B): 2849.
Chacon, M., V. Rocco, et al. (2002). "Prediction of the length of stay in Intensive Care Units using artificial neural networks." Revista Medica De Chile 130(1): 71-78.
Chadha, D. (1993). Fault detection in a nonlinear system by time series analysis using artificial neural networks: xix, 137 leaves.
Chakraborty, K. (1990). Forecasting the behavior of multivariate time series using neural networks. Syracuse, N.Y., School of Computer and Information Science Syracuse University.
Chakraborty, K., K. Mehrotra, et al. (1992). "Forecasting the Behavior of Multivariate Time-Series Using Neural Networks." Neural Networks 5(6): 961-970.
Chakraborty, K., K. Mehrotra, et al. (1994). "An Inappropriate Use of Neural Networks for Forecasting - Response." Neural Networks 7(1): 203-204.
Chalk, A. M. and E. L. L. Sonnhammer (2002). "Computational antisense oligo prediction with a neural network model." Bioinformatics (Oxford, England) 18(12): 1567-1575.
Chaloulakou, A., M. Saisana, et al. (2003). "Comparative assessment of neural networks and regression models for forecasting summertime ozone in Athens." The Science Of The Total Environment 313(1-3): 1-13.
Chalup, S. K. and A. D. Blair "Incremental training of first order recurrent neural networks to predict a context-sensitive language." Neural Networks In Press, Corrected Proof.
Chalya M, S. (1993). Artificial neural network for construction cost forecasting: x, 87 leaves.
Chan, K. "Computer-Aided Molecular Design Using Genetic Algorithms (Neural Networks)." DAI, , 55, no. 08B, (1994): 3442.
Chan, K. H. B. "Predicting Weld Features Using Artificial Neural Network Technology." DAI, , 57, no. 10B, (1996): 6497.
Chan, B., M. Bibby, et al. (1995). "Predicting Haz Hardness with Artificial Neural Networks." Canadian Metallurgical Quarterly 34(4): 353-356.
Chan, K.-H. B. (1996). Predicting weld features using artificial neural network technology. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Chan, B., M. Bibby, et al. (1996). "Predicting 800 to 500 degrees C weld cooling times by using backpropagation neural networks." Transactions of the Canadian Society for Mechanical Engineering 20(1): 75-85.
Chan, Y. N., P. Jin, et al. (1998). "Fire resistance of concrete: prediction using artificial neural networks." Magazine of Concrete Research 50(4): 353-358.
Chan, M.-C., C.-C. Wong, et al. (2000). "Financial Time Series Forecasting by Neural Network
Using Conjugate Gradient Learning Algorithm and
Multiple Linear Regression Weight Initialization." Computing in Economics and Finance 61.
Chan, L. and Y. Li (2000). Time series prediction by growing lateral delay neural networks. Real-World Applications of Evolutionary Computing, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 1803: 127-138.
Chandonia, J.-M. "Neural Network Based Algorithms for Protein Structure Prediction (Secondary Structure)." DAI, , 58, no. 09B, (1997): 4663.
Chandonia, J. M. and M. Karplus (1995). "Neural Networks for Secondary Structure and Structural Class Predictions." Protein Science 4(2): 275-285.
Chandonia, J.-M. and M. Karplus (1996). "The importance of larger data sets for protein secondary structure prediction with neural networks." Protein science : a publication of the Protein Society 5(4): 7.
Chandonia, J. M. and M. Karplus (1996). "The importance of larger data sets for protein secondary structure prediction with neural networks." Protein Science: a Publication Of The Protein Society 5(4): 768-774.
Chandonia, J.-M. (1997). Neural network based algorithms for protein structure prediction: 1 v. [160 leaves].
Chang, I. C. "Neural Network Applications in Time Series Forecasting." DAI, , 53, no. 09B, (1992): 4758.
Chang, I. C. (1992). Neural networks application in time series forecasting: xiii, 196 leaves.
Chang, G.-L., C.-C. Su, et al. (1995). Predicting intersection queue with neural network models.
Chang, G. L. and C. C. Su (1995). "Predicting Intersection Queue with Neural-Network Models." Transportation Research Part C-Emerging Technologies 3(3): 175-191.
Chang, P. R. and J. T. Hu (1997). "Optimal nonlinear adaptive prediction and modeling of MPEG video in ATM networks using pipelined recurrent neural networks." Ieee Journal on Selected Areas in Communications 15(6): 1087-1100.
Chang, P. R. and W. H. Yang (1997). "Environment-adaptation mobile radio propagation prediction using radial basis function neural networks." Ieee Transactions on Vehicular Technology 46(1): 155-160.
Chang, P. R. (1998). "Mobile radio propagation prediction for a urban microcellular environment using factorizable Gaussian neural networks." International Journal of Electronics 85(5): 661-679.
Chang, H.-C. (1999). "Determining geophysical properties from well log data using artificial neural networks and fuzzy inference systems." DAI 61(01B): 413.
Chang, S. C., R. S. Kim, et al. (2000). Traffic-flow forecasting using a 3-stage model. Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE.
Chang, N. B. and W. C. Chen (2000). "Prediction of PCDDs/PCDFs emissions from municipal incinerators by genetic programming and neural network modeling." Waste Management & Research 18(4): 341-351.
Chang, F. J. and Y. C. Chen (2001). "A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction." Journal of Hydrology 245(1-4): 153-164.
Chang, F. J., J. M. Liang, et al. (2001). "Flood forecasting using radial basis function neural networks." Ieee Transactions on Systems Man and Cybernetics Part C-Applications and Reviews 31(4): 530-535.
Chang, W. S. and S. J. Na (2001). "Prediction of laser-spot-weld shape by numerical analysis and neural network." Metallurgical and Materials Transactions B-Process Metallurgy and Materials Processing Science 32(4): 723-731.
Chang, F.-J. and Y.-C. Chen (2001). "A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction." Journal of Hydrology 245(1-4): 153-164.
Chang, B. R. and S. F. Tsai (2002). Forecasting short-term stock price indexes an integrated predictor vs. neural network predictor. TENCON '02 Proceedings.
Chang, F. J., L. C. Chang, et al. (2002). "Real-time recurrent learning neural network for stream-flow forecasting." Hydrological Processes 16(13): 2577-2588.
Chang, F. J., Y. C. Chen, et al. (2002). "Fuzzy clustering neural network as flood forecasting model." Nordic Hydrology 33(4): 275-290.
Chang, F. J. and Y. C. Chen (2003). "Estuary water-stage forecasting by using radial basis function neural network." Journal of Hydrology 270(1-2): 158-166.
Chang, F.-J. and Y.-C. Chen (2003). "Estuary water-stage forecasting by using radial basis function neural network." Journal of Hydrology 270(1-2): 158-166.
Chao, P. Y. and Y. D. Hwang (1997). "An improved neural network model for the prediction of cutting tool life." Journal of Intelligent Manufacturing 8(2): 107-115.
Chapados, N. and Y. Bengio (2001). "Cost functions and model combination for VaR-based asset allocation using neural networks." Ieee Transactions on Neural Networks 12(4): 890-906.
Charalambous, C., A. Charitou, et al. (2000). "Comparative analysis of artificial neural network models: Application in bankruptcy prediction." Annals of Operations Research 99: 403-425.
Charnas, L. R. "Identification and Characterization of a Novel Neuronal Intermediate Filament Protein in Xenopus Laevis (Neurofilament)." DAI, , 51, no. 01B, (1989): 0088.
Charpentier, T. (2000). FIR filter structures in neural networks for time series prediction: ix, 72 leaves.
Chartier, B. (1994). An application of artificial neural network analysis techniques to a finance prediction problem: ix, 93 leaves.
Charytoniuk, W., E. D. Box, et al. (2000). "Neural-network-based demand forecasting in a deregulated environment." Ieee Transactions on Industry Applications 36(3): 893-898.
Charytoniuk, W. and M. S. Chen (2000). "Very short-term load forecasting using artificial neural networks." Ieee Transactions on Power Systems 15(1): 263-268.
Chatfield, C. (1993). "Neural Networks - Forecasting Breakthrough or Passing Fad." International Journal of Forecasting 9(1): 1-3.
Chatfield, C. (1993). "Neural networks: Forecasting breakthrough or passing fad?" International journal of forecasting 9(1): 1-4.
Chatfield, C. and A. N. Refenes (1994). "Comments on 'Neural networks: Forecasting breakthrough or passing fad'." International journal of forecasting 10(1): 43.
Chatterjee, T. N. (2001). "On the application of information theory to the optimum state-space reconstruction of the short-term solar radio flux (10.7 cm), and its prediction via a neural network." Monthly Notices of the Royal Astronomical Society 323(1): 101-108.
Chaturvedi, D. K., P. S. Satsangi, et al. (1999). "New neuron models for simulating rotating electrical machines and load forecasting problems." Electric Power Systems Research 52(2): 123-131.
Chaturvedi, D. K., P. S. Satsangi, et al. (2001). "Fuzzified neural network approach for load forecasting." Engineering Intelligent Systems for Electrical Engineering and Communications 9(1): 3-9.
Chaudhry, S. R. "An Artificial-Neural-Network Approach for the Identification of Saturated Turbogenerator Parameters Based on a Coupled Finite-Element/State-Space Modeling Technique (Artificial Neural Networks, Finite Element)." DAI, , 55, no. 09B, (1994): 4031.
Chauvin, Y. "Symbol Acquisition in Humans and Neural (Pdp) Networks." DAI, , 50, no. 01B, (1988): 0361.
Chavy, C., B. Gas, et al. (1999). "Neural Predictive Coding for Speech Signal." Lecture notes in computer science(1607): 824-832.
Chawathe, A., A. Ouenes, et al. (1997). "Predicting unconventional well logs from conventional logs using neural networks." In Situ 21(2): 145-159.
Chawdhry, P., R. Roy, et al. (1998). Soft computing in engineering design and manufacturing. London ; New York, Springer.
Chedid, R. and N. Najjar (1996). "Automatic finite-element mesh generation using artificial neural networks .1. Prediction of mesh density." Ieee Transactions on Magnetics 32(5): 5173-5178.
Chelani, A. B., C. V. C. Rao, et al. (2002). "Prediction of sulphur dioxide concentration using artificial neural networks." Environmental Modelling & Software 17(2): 161-168.
Chelani, A. B., C. V. Chalapati Rao, et al. (2002). "Prediction of sulphur dioxide concentration using artificial neural networks." Environmental Modelling & Software 17(2): 159-166.
Chelani, A. B., D. G. Gajghate, et al. (2002). "Prediction of ambient PM10 and toxic metals using artificial neural networks." Journal Of The Air & Waste Management Association (1995) 52(7): 805-810.
Chen, Z. "Wave Propagation in Neuronal Models (Inhibitory Neurons)." DAI, , 59, no. 01B, (1997): 0250.
Chen, H.-W. "Multi-Input Nonlinear Systems Analyses of Primate Visual Cortical Neurons." DAI, , 53, no. 07B, (1992): 3628.
Chen, C.-W. "Artificial Neural Network Approach to Process Diagnosis (Neural Networks, Visual System)." DAI, , 55, no. 06B, (1994): 2339.
Chen, C. Y. P. "Performance Improvement of Uncertain Robotic Systems Using Neural Networks: Analysis and Experiment." DAI, , 57, no. 04B, (1995): 2815.
Chen, G. "Process Control Utilizing Data-Based Models: Applications of Statistical Techniques and Neural Networks (Monitoring, Predictive Control, Pca, Mpc)." DAI, , 58, no. 01B, (1996): 0297.
Chen, H.-H. "Neural Network Training and Pruning Utilizing Multiple Regressions (Multilayer Perceptron)." DAI, , 59, no. 02B, (1997): 0784.
Chen, J. "Characterization and Implementation of Neural Network Time Series Models for Traffic Volume Forecasting (Radial Basis Function Network, Error Back Propogation Network, Decomposition, Kalman Filter)." DAI, , 58, no. 11B, (1997): 6106.
Chen, K. "Three-Dimensional Object Recognition (Feature Construction, Neural Network)." DAI, , 58, no. 06B, (1997): 3272.
Chen, L. "Design and Implementation of Gallium Arsenide Ccd/Mesfet Ics for Artificial Neural Network Application." DAI, , 57, no. 04B, (1995): 2744.
Chen, S. "Estimating Patient Severity Using a Bayesian Pattern Recognition Approach and a Neural Network Approach." DAI, , 54, no. 08B, (1993): 4363.
Chen, S.-T. S. "Weather Sensitive Short-Term Load Forecasting Using Non- Fully Connected Artificial Neural Networks (Forecasting)." DAI, , 52, no. 12B, (1991): 6559.
Chen, W.-N. "Training Neural Networks with Automatic Network Generating Ability for the Classification Problem (Network Topology)." DAI, , 53, no. 08B, (1992): 4212.
Chen, A.-S. and M. T. Leung "Regression neural network for error correction in foreign exchange forecasting and trading." Computers & Operations Research In Press, Corrected Proof.
Chen, S., C. F. N. Cowan, et al. (1990). "Parallel Recursive Prediction Error Algorithm for Training Layered Neural Networks." International Journal of Control 51(6): 1215-1228.
Chen, S.-T. (1991). Weather sensitive short-term load forecasting using non-fully connected artificial neural networks: xvi, 164 leaves.
Chen, S.-T., D. C. Yu, et al. (1992). "Weather sensitive short-term load forecasting using nonfully connected artificial neural network." Power Systems, IEEE Transactions on 7(3): 1098-1105.
Chen, S. T., D. C. Yu, et al. (1992). "Weather Sensitive Short-Term Load Forecasting Using Nonfully Connected Artificial Neural Network." Ieee Transactions on Power Systems 7(3): 1098-1105.
Chen, H. C., P. B. Rinde, et al. (1994). "Expert Prediction, Symbolic Learning, and Neural Networks - an Experiment on Greyhound Racing." Ieee Expert-Intelligent Systems & Their Applications 9(6): 21-27.
Chen, C. Y. P. (1995). "Performance improvement of uncertain robotic systems using neural networks: Analysis and experiment." DAI 57(04B): 2815.
Chen, L. (1995). "Design and implementation of gallium arsenide CCD/MESFET ICs for artificial neural network application." DAI 57(04B): 2744.
Chen, C. S., Y. M. Tzeng, et al. (1996). "The application of artificial neural network to distribution substation load forecasting and temperature sensitivity analysis." Journal of the Chinese Institute of Engineers 19(2): 171-177.
Chen, C. S., Y. M. Tzeng, et al. (1996). "The application of artificial neural networks to substation load forecasting." Electric Power Systems Research 38(2): 153-160.
Chen, J. (1997). Characterization and implementation of neural network time series models for traffic volume forecasting: xii, 181 leaves.
Chen, H. (1998). The Effects of missing data on neural network performance in forecasting flow.
Chen, C. L. P., Y. Cao, et al. (1998). "Materials structure-property prediction using a self-architecting neural network." Journal of Alloys and Compounds 279(1): 30-38.
Chen, J. H. (1998). "Systematic derivations of model predictive control based on artificial neural network." Chemical Engineering Communications 164: 35-59.
Chen, M. I. N. (1998). "Neural Net-Aided Criterion of Flow Regime Transition in Trickle Bed Reactors." MAI 37(06): 1898.
Chen, C. L. P., S. R. LeClair, et al. (1998). "An incremental adaptive implementation of functional-link processing for function approximation, time-series prediction, and system identification." Neurocomputing 18(1-3): 11-31.
Chen, C.-C. (1999). "Role of VPM thalamus in mechanical sensitivity and hyperalgesia (Ventral posteromedial neurons)." DAI 61(05B): 2302.
Chen, C. L. P. and J. Z. Wan (1999). "A rapid learning and dynamic stepwise updating algorithm for flat neural networks and the application to time-series prediction." Ieee Transactions on Systems Man and Cybernetics Part B-Cybernetics 29(1): 62-72.
Chen, D. (1999). "Neural network model for predicting performance of projects." MAI 38(05): 1377.
Chen, D. G. and D. M. Ware (1999). "A neural network model for forecasting fish stock recruitment." Canadian Journal of Fisheries and Aquatic Sciences 56(12): 2385-2396.
Chen, R., H. V. Gimbel, et al. (1999). "Predictability of refractive surgery outcome between artificial neural network intelligence and refractive surgeons." Investigative Ophthalmology & Visual Science 40(4): S894-S894.
Chen, Z., P. He, et al. (1999). "A mathematical model using artificial neural networks to forecast shares tendency." Applied Mathematics and Computation 99(1): 71-76.
Chen, H. Y., T. C. Chen, et al. (1999). "Prediction of tacrolimus blood levels by using the neural network with genetic algorithm in liver transplantation patients." Therapeutic Drug Monitoring 21(1): 50-56.
Chen, D. (2000). "Optimal use of regularization and cross-validation in neural network modeling." DAI 61(07B): 3745.
Chen, C. L., D. B. Kaber, et al. (2000). "A new approach to applying feedforward neural networks to the prediction of musculoskeletal disorder risk." Applied Ergonomics 31(3): 269-282.
Chen, C.-L., D. B. Kaber, et al. (2000). "A new approach to applying feedforward neural networks to the prediction of musculoskeletal disorder risk." Applied Ergonomics 31(3): 269-282.
Chen, H., C. A. Canizares, et al. (2001). ANN-based short-term load forecasting in electricity markets. Power Engineering Society Winter Meeting, 2001. IEEE.
Chen, Q., J. Milligan, et al. (2001). Implementation and performance analysis of very short term load forecaster based on the electronic dispatch project in ISO New England. Power Engineering, 2001. LESCOPE '01. 2001 Large Engineering Systems Conference on.
Chen, X. H., J. Racine, et al. (2001). "Semiparametric ARX neural-network models with an application to forecasting inflation." Ieee Transactions on Neural Networks 12(4): 674-683.
Chen, D. (2001). Neural network model for predicting performance of projects. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Chen, C. R., H. S. Ramaswamy, et al. (2001). "Prediction of quality changes during osmo-convective drying of blueberries using neural network models for process optimization." Drying Technology 19(3-4): 507-523.
Chen, H. B., M. S. Dougherty, et al. (2001). "The effects of detector spacing on traffic forecasting performance using neural networks." Computer-Aided Civil and Infrastructure Engineering 16(6): 422-430.
Chen, H. B., S. Grant-Muller, et al. (2001). "A study of hybrid neural network approaches and the effects of missing data on traffic forecasting." Neural Computing & Applications 10(3): 277-286.
Chen, L. (2001). "Nonlinear adaptive control of discrete-time systems using neural networks and multiple models." DAI 62(03B): 1502.
Chen, Y., T. Zhao, et al. (2001). "Prediction of fabric end-use using a neural network technique." Journal of the Textile Institute 92(1): 157-163.
Chen, Y., S. S. Thosar, et al. (2001). "Prediction of drug content and hardness of intact tablets using artificial neural network and near-infrared spectroscopy." Drug Development And Industrial Pharmacy 27(7): 623-631.
Chen, J. (2001). "A predictive system for blast furnaces by integrating a neural network with qualitative analysis." Engineering Applications of Artificial Intelligence 14(1): 77-85.
Chen, L. and F.-Y. Wang (2002). A neuro-fuzzy system approach for forecasting short-term freeway traffic flows. Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on.
Chen, Y., G. A. Kopp, et al. (2002). "Interpolation of wind-induced pressure time series with an artificial neural network." Journal of Wind Engineering and Industrial Aerodynamics 90(6): 589-615.
Chen, J. and Y. Yea (2002). "Neural Network-Based Predictive Control for Multivariable Processes." Chemical Engineering Communications 189(7): 865-894.
Chen, J. H. and Y. Z. Yea (2002). "Neural network-based predictive control for multivariable processes." Chemical Engineering Communications 189(7): 865-894.
Chen, J. H., Y. Z. Yea, et al. (2002). "Neural network model predictive control for nonlinear MIMO processes with unmeasured disturbances." Journal of Chemical Engineering of Japan 35(2): 150-159.
Chen, W. (2002). "Recurrent neural networks applied to robotic motion control." MAI 41(01): 298.
Chen, Y., T. Jiao, et al. (2002). "Comparison of four artificial neural network software programs used to predict the in vitro dissolution of controlled-release tablets." Pharmaceutical Development And Technology 7(3): 373-379.
Chen, A. S., M. T. Leung, et al. (2003). "Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index." Computers & Operations Research 30(6): 901-923.
Chen, A.-S., M. T. Leung, et al. (2003). "Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index." Computers & Operations Research 30(6): 901-923.
Chen, Y., G. A. Kopp, et al. (2003). "Prediction of pressure coefficients on roofs of low buildings using artificial neural networks." Journal of Wind Engineering and Industrial Aerodynamics 91(3): 423-441.
Chen, A.-S. and M. T. Leung (2004). "Regression neural network for error correction in foreign exchange forecasting and trading." Computers & Operations Research 31(7): 1049-1068.
Cheng, W. E. I. "Improved Forecast Performance for Neural Networks through the Use of a Combined Model (Finance)." DAI, , 57, no. 07B, (1996): 4509.
Cheng, L. and D. L. Adams (1995). "Yarn Strength Prediction Using Neural Networks .1. Fiber Properties and Yarn Strength Relationship." Textile Research Journal 65(9): 495-500.
Cheng, L. and D. L. Adams (1995). "Yarn Strength Prediction Using Neural Networks Part I: Fiber Properties and Yarn Strength Relationship." Textile research journal : publication of Textile Research Institute, Inc. and the Textile Foundation 65(9): 6.
Cheng, W. and Cleveland State University. College of Business Administration. (1996). Improved forecast performance for neural networks through the use of a combined model: vi, 209 leaves, bound.
Cheng, P. J. and S. C. Lin (2000). "Using neural networks to predict bending angle of sheet metal formed by laser." International Journal of Machine Tools and Manufacture 40(8): 1185-1197.
Cheng, C. M., L. X. Ma, et al. (2001). "A neural network to predict melting temperature (T-m) of RNA duplex." Nucleosides Nucleotides & Nucleic Acids 20(3): 261-269.
Cheng, Y. Y., W. Z. Chen, et al. (2001). "A neural computing method for identifying quantitative structure activity relationships." Acta Chimica Sinica 59(7): 1145-1149.
Cheng, C., L. Ma, et al. (2001). "A neural network to predict melting temperature (Tm) of RNA duplex." Nucleosides, Nucleotides & Nucleic Acids 20(3): 261-269.
Chenoweth, T. I. M. "A Neural Network Based System for Predicting Future Returns for the S&P 500 Stock Index." DAI, , 58, no. 04A, (1996): 1389.
Chenoweth, T. and Z. Obradovic (1996). "A multi-component nonlinear prediction system for the S&P 500 Index." Neurocomputing 10: 275-290.
Chenoweth, T. (1996). A neural network based system for predicting future returns for the S&P 500 stock index: xiii, 108 leaves, bound.
Cheroutre-Vialette, M. and A. Lebert (2002). "Application of recurrent neural network to predict bacterial growth in dynamic conditions." International Journal Of Food Microbiology 73(2-3): 107-118.
Cherqaoui, D., D. Villemin, et al. (1994). "Application of Neural-Network Approach for Prediction of Some Thermochemical Properties of Alkanes." Chemometrics and Intelligent Laboratory Systems 24(2): 117-128.
Cheu, R.-L. and National University of Singapore. (1998). Freeway traffic prediction using neural networks.
Cheung, Y. M., W. M. Leung, et al. "Adaptive rival penalized competitive learning and combined linear predictor model for financial forecast and investment." International Journal Of Neural Systems 8(5-6): 517-534.
Cheung, W. S., H. S. Ng, et al. (2000). Intraday stock price analysis and prediction. Proceedings of the 2000 IEEE International Conference on Management of Innovation and Technology.
Cheyne, D., H. Weinberg, et al. (1995). "Motor Cortex Activity and Predicting Side of Movement - Neural-Network and Dipole Analysis of Pre-Movement Magnetic-Fields." Neuroscience Letters 188(2): 81-84.
Chhotu, P. (2003). Forecasting fatigue allowances using neural networks: xii, 53 leaves.
Chiang, W. C., T. L. Urban, et al. (1996). "A neural network approach to mutual fund net asset value forecasting." Omega-International Journal of Management Science 24(2): 205-215.
Chiang, W.-C., T. L. Urban, et al. (1996). "A neural network approach to mutual fund net asset value forecasting." Omega 24(2): 205-215.
Chiang, D., H.-C. Chiang, et al. (2003). "Prediction of stone disease by discriminant analysis and artificial neural networks in genetic polymorphisms: a new method." BJU International 91(7): 661-666.
Chibanga, R., J. Berlamont, et al. (2003). "Modelling and forecasting of hydrological variables using artificial neural networks: the Kafue River sub-basin." Hydrological Sciences Journal-Journal Des Sciences Hydrologiques 48(3): 363-379.
Chien, S. I. J., Y. Ding, et al. (2002). Dynamic bus arrival time prediction with artificial neural networks.
Chien, S. I. J., Y. Q. Ding, et al. (2002). "Dynamic bus arrival time prediction with artificial neural networks." Journal of Transportation Engineering-Asce 128(5): 429-438.
Chien, W.-T. and C.-S. Tsai (2003). "The investigation on the prediction of tool wear and the determination of optimum cutting conditions in machining 17-4PH stainless steel." Journal of Materials Processing Technology 140(1-3): 340-345.
Chin, S.-M., H.-L. Hwang, et al. (1992). Transportation demand forecasting with a computer-simulated neural network model.
Chinnam, R. B. "Intelligent Process Quality Control and Tool Monitoring in Manufacturing Systems (Neural Networks)." DAI, , 55, no. 05B, (1994): 1967.
Chinnam, R. B. and J. Ding (1998). "Prediction limit estimation for neural network models." Ieee Transactions on Neural Networks 9(6): 1515-1522.
Chinrungrueng, C. "Evaluation of Heterogeneous Architectures for Artificial Neural Networks (Gradient Descent)." DAI, , 54, no. 10B, (1993): 5308.
Chiou, B. S. and P. E. Schoen (2002). "Effects of crosslinking on thermal and mechanical properties of polyurethanes." Journal of Applied Polymer Science 83(1): 212-223.
Chiru-Danzer, M. G. (1999). "Estimation of liquefaction-induced vertical and horizontal displacements using artificial neural networks and regression analysis." DAI 61(03B): 1615.
Chiru-Danzer, M., Juang, C.H., Chrisopher, R.A., (2000), Estimation of Liquefaction-Induced Vertical Displacements using Multi-Linear Regression Analysis, Proceedings of Sessions of Geo-Denver 2000: Soil Dynamics and Liquefaction 2000, August, 2002, pp. 92-107.
Chiru-Danzer, M., Juang, C.H., Chrisopher, R.A., and Suber, J. (2001), Estimation of Liquefaction-Induced Horizontal Displacements using Artificial Neural Networks, Canadian Geotechnical Journal, January, 2001.
Chittayil, K. "Acoustic Emission Sensing for Tool Wear Estimation and Control in Metal Cutting (Neural Networks)." DAI, , 57, no. 04B, (1996): 2785.
Chiu, C.-C. "On Adaptive Radial Basis Function Neural Networks for the Forecasting of Time Series Processes." DAI, , 56, no. 02B, (1994): 1026.
Chiu, C.-C. (1994). On adaptive radial basis function neural networks for the forecasting of time series processes: xiii, 102 leaves.
Chiu, C. C., D. F. Cook, et al. (1997). "Combining a neural network and a rule-based expert system for short-term load forecasting." Computers & Industrial Engineering 32(4): 787-797.
Chiu, C. C., L. J. Kao, et al. (1997). "Combining a neural network with a rule-based expert system approach for short-term power load forecasting in Taiwan." Expert Systems with Applications 13(4): 299-305.
Chiu, C.-C., L.-J. Kao, et al. (1997). "Combining a neural network with a rule-based expert system approach for short-term power load forecasting in Taiwan." Expert Systems with Applications 13(4): 299-305.
Chiu, C.-C., D. F. Cook, et al. (1997). "Combining a neural network and a rule-based expert system for short-term load forecasting." Computers & Industrial Engineering 32(4): 787-797.
Cho, C. S. "Evaluations of Neural Network Control in Grinding Mill Circuits." DAI, , 56, no. 11B, (1995): 6359.
Cho, C., R. Vance, et al. (1997). "Neural network-based nonlinear model predictive control vs. linear quadratic gaussian control." Minerals and Metallurgical Processing 14(2): 43-46.
Cho, S. Z., Y. J. Cho, et al. (1997). "Reliable roll force prediction in cold mill using multiple neural networks." Ieee Transactions on Neural Networks 8(4): 874-882.
Cho, S. Z., M. Jang, et al. (1997). "A hybrid neural-network mathematical prediction model for tandem cold mill." Computers & Industrial Engineering 33(3-4): 453-456.
Cho, S., M. Jang, et al. (1997). "A hybrid neural-network/mathematical prediction model for tandem cold mill." Computers & Industrial Engineering 33(3-4): 453-456.
Cho, S. (2001). "Modelling and prediction for chaotic fir laser attractor using rational function neural network." International Journal Of Neural Systems 11(1): 89-99.
Cho, V. (2003). "A comparison of three different approaches to tourist arrival forecasting." Tourism Management 24(3): 323-330.
Choe, Y. (2001). "Perceptual groupings in a self-organizing map of spiking neurons." DAI 62(09B): 4078.
Choey, M. (1997). A neural network approach to maximization of the Sharpe Ratio in financial time series: x, 83 leaves.
Choey, M., A. S. Weigend, et al. (1997). Nonlinear trading models through Sharpe Ratio maximization. New York, NY, New York University Leonard N. Stern School of Business.
Choi, W. C. and N. W. Kim (1996). "Experimental study on active vibration control of a flexible cantilever using an artificial neural-network state predictor." Smart Materials & Structures 5(6): 751-758.
Choi, S. W., E. J. Song, et al. (2003). "Prediction of fatigue damage growth in notched composite laminates using an artificial neural network." Composites Science and Technology 63(5): 661-675.
Choi, S. W., E.-J. Song, et al. (2003). "Prediction of fatigue damage growth in notched composite laminates using an artificial neural network." Composites Science and Technology 63(5): 661-675.
Cholewo, T. J. "Neural Networks with Dynamic Synapses for Time Series Prediction (Computational Complexity)." DAI, , 59, no. 09B, (1998): 4919.
Cholewo, T. J. (1998). Neural networks with dynamic synapses for times series prediction: xiii, 101 leaves.
Cholewo, T. J. (1998). "Neural Networks with Dynamic Synapses for Time Series Prediction (Computational Complexity)." DAI 59(09B): 102.
Chon, T. S., Y. S. Park, et al. (2000). "Use of an artificial neural network to predict population dynamics of the forest-pest pine needle gall midge (Diptera : Cecidomyiida)." Environmental Entomology 29(6): 1208-1215.
Chon, T. S., I. S. Kwak, et al. (2001). "Patterning and short-term predictions of benthic macroinvertebrate community dynamics by using a recurrent artificial neural network." Ecological Modelling 146(1-3): 181-193.
Chon, T.-S., I.-S. Kwak, et al. (2001). "Patterning and short-term predictions of benthic macroinvertebrate community dynamics by using a recurrent artificial neural network." Ecological Modelling 146(1-3): 181-193.
Chong, K. T. "Nonlinear Dynamic System Identification Using Recurrent Neural Networks." DAI, , 54, no. 08B, (1993): 4346.
Chong, A. Z. S., S. J. Wilcox, et al. (2001). "Prediction of gaseous emissions from a chain grate stoker boiler using neural networks of ARX structure." Iee Proceedings-Science Measurement and Technology 148(3): 95-102.
Chong, W. L. (2002). Predicting changes in federal funds target rate using artificaial neural networks: 105 p.
Chonghe, L., T. Yihao, et al. "Prediction of lattice constant in perovskites of GdFeO3 structure." Journal of Physics and Chemistry of Solids In Press, Corrected Proof.
Chou, C.-J. (1993). Application of neural networking in live cattle futures market : an approach to price-forecasting: xv, 133 leaves.
Chou, K.-C. (2002). "Prediction of protein signal sequences." Current Protein & Peptide Science 3(6): 615-622.
Choudhury, J. P., B. Sarkar, et al. (2001). "Prediction of engineering manpower using fuzzy feed forward back propagation neural network model." Iete Journal of Research 47(1-2): 79-83.
Choudhury, J. P., B. Sarkar, et al. (2002). "Prediction of engineering manpower using neural network and genetic algorithm." Iete Journal of Research 48(5): 377-384.
Choudhury, J. P., B. Sarkar, et al. (2002). "Forecasting of engineering manpower through fuzzy associative memory neural network with ARIMA: a comparative study." Neurocomputing 47(1-4): 241-257.
Choudhury, S. K. and G. Bartarya (2003). "Role of temperature and surface finish in predicting tool wear using neural network and design of experiments." International Journal of Machine Tools and Manufacture 43(7): 747-753.
Choueiki, M. H. "A Designed Experiment on the Use of Neural-Network Models in Short-Term Hourly Load Forecasting." DAI, , 56, no. 04B, (1995): 2247.
Choueiki, M. H. (1995). A designed experiment on the use of neural-network models in short-term hourly load forecasting: x, 138 leaves.
Choueiki, M. H., C. A. MountCampbell, et al. (1997). "Building a 'quasi optimal' neural network to solve the short-term load forecasting problem." Ieee Transactions on Power Systems 12(4): 1432-1439.
Choueiki, M. H., C. A. MountCampbell, et al. (1997). "Implementing a weighted least squares procedure in training a neural network to solve the short-term load forecasting problem." Ieee Transactions on Power Systems 12(4): 1689-1694.
Chow, Y. K., W. T. Chan, et al. (1995). "Prediction of Pile Capacity from Stress-Wave Measurements - a Neural-Network Approach." International Journal for Numerical and Analytical Methods in Geomechanics 19(2): 107-126.
Chow, T. W. S. and C. T. Leung (1996). "Neural network based short-term load forecasting using weather compensation." Ieee Transactions on Power Systems 11(4): 1736-1742.
Chow, T. W. S. and C. T. Leung (1996). "Nonlinear autoregressive integrated neural network model for short-term load forecasting." Iee Proceedings-Generation Transmission and Distribution 143(5): 500-506.
Chow, T. W. S. and S. Y. Cho (1997). "Development of a recurrent Sigma-Pi neural network rainfall forecasting system in Hong Kong." Neural Computing & Applications 5(2): 66-75.
Choy, W. Y., B. C. Sanctuary, et al. "Using neural network predicted secondary structure information in automatic protein NMR assignment." Journal Of Chemical Information And Computer Sciences 37(6): 1086-1094.
Choy, W. Y., B. C. Sanctuary, et al. (1997). "Using neural network predicted secondary structure information in automatic protein NMR assignment." Journal of Chemical Information and Computer Sciences 37(6): 1086-1094.
Christiaens, K. and J. Feyen (2001). "Analysis of uncertainties associated with different methods to determine soil hydraulic properties and their propagation in the distributed hydrological MIKE SHE model." Journal of Hydrology 246(1-4): 63-81.
Christiansen, B. T. (1995). ECG time series prediction with neural networks: viii, 105 leaves.
Chryssolouris, G., M. Lee, et al. (1996). "Confidence interval prediction for neural network models." Ieee Transactions on Neural Networks 7(1): 229-232.
Chtioui, Y., S. Panigrahi, et al. (1999). "A generalized regression neural network and its application for leaf wetness prediction to forecast plant disease." Chemometrics and Intelligent Laboratory Systems 48(1): 47-58.
Chu, W. C. "Neural Network-Based Nonlinear Prediction Model for Speech Coding." DAI, , 59, no. 08B, (1998): 4321.
Chu, C.-W. and G. P. Zhang "A comparative study of linear and nonlinear models for aggregate retail sales forecasting." International Journal of Production Economics In Press, Corrected Proof.
Chu, C. H. and D. Widjaja (1994). "Neural-Network System for Forecasting Method Selection." Decision Support Systems 12(1): 13-24.
Chu, C.-H. and D. Widjaja (1994). "Neural network system for forecasting method selection." Decision Support Systems 12(1): 13-24.
Chu, W. C. (1998). "Neural Network-Based Nonlinear Prediction Model for Speech Coding." DAI 59(08B): 107.
Chu, W. C. and N. K. Bose (1998). "Speech signal prediction using feedforward neural network." Electronics Letters 34(10): 999-1001.
Chu, A. M. and D. R. Conn (1999). "Neural network prediction of HF ionospheric propagation loss." Electronics Letters 35(20): 1774-1776.
Chua, C.-W. and G. P. Zhang (2003). "A comparative study oflinear and nonlinear models for
aggregate retail sales forecasting." International Journal of Production Economics 86: 217–231.
Chuah, K. L. "A Nonlinear Approach to Return Predictability in the Securities Markets Using Feedforward Neural Network (Forecasting)." DAI, , 53, no. 11A, (1992): 4020.
Chuah, K. L. (1992). A nonlinear approach to return predictability in the securities markets using feedforward neural network: xi, 64 leaves, bound.
Chukwujekwu, A. O., K. Chandrashekhara, et al. (1997). "Delamination prediction in composite beams with built-in piezoelectric devices using modal analysis and neural network." NDT & E International 30(5): 326.
Chun, S.-H. and S. H. Kim "Data mining for financial prediction and trading: application to single and multiple markets." Expert Systems with Applications In Press, Corrected Proof.
Chun, M. S., J. Biglou, et al. (1998). "Using neural networks to predict parameters in the hot working of aluminum alloys." Journal of Materials Processing Technology 86(1-3): 245-251.
Chun, M. S., J. Biglou, et al. (1999). "Using neural networks to predict parameters in the hot working of aluminum alloys." Journal of Materials Processing Technology 86(1-3): 245-251.
Chun, M. S., J. J. Yi, et al. (2001). "Application of neural networks to predict the width variation in a plate mill." Journal of Materials Processing Technology 111(1-3): 146-149.
Chun, S.-H. and S. H. Kim (2003). "Impact of momentum bias on forecasting through knowledge discovery techniques in the foreign exchange market." Expert Systems with Applications 24(1): 115-122.
Church, K. B. and S. P. Curram (1996). "Forecasting consumers' expenditure: A comparison between econometric and neural network models." International Journal of Forecasting 12(2): 255-267.
Cibere, J. J. (2001). "Calibration transfer methods for feedforward neural network based instruments." DAI 62(11B): 5268.
Cierniak, R. and L. Rutkowski (2000). "On image compression by competitive neural networks and optimal linear predictors." Signal Processing: Image Communication 15(6): 559-565.
Cigizoglu, H. K. (2003). "Estimation, forecasting and extrapolation of river flows by artificial neural networks." Hydrological Sciences Journal-Journal Des Sciences Hydrologiques 48(3): 349-361.
Cigizoglu, H. K. (2003). "Incorporation of ARMA models into flow forecasting by artificial neural networks." Environmetrics 14(4): 417-427.
Cilek, E. C. (2002). "Application of neural networks to predict locked cycle flotation test results." Minerals Engineering 15(12): 1095-1104.
Cincotti, S. (2000). "Approximation properties of a PWL circuit model of hysteresis." Physica B: Condensed Matter 275(1-3): 216-222.
Ciobanu, C. I. (2002). "A neural networks search for single top quark production in CDF run I data." DAI 63(07B): 3341.
Cios, K. J. (1993). Fuzzy sets predict flexural strength and density of silicon nitride ceramics. Washington, DC
Springfield, Va., National Aeronautics and Space Administration ;
National Technical Information Service distributor.
Cios, K. J. and United States. National Aeronautics and Space Administration. (1993). Fuzzy sets predict flexural strength and density of silicon nitride ceramics. Washington, DC
Springfield, Va., National Aeronautics and Space Administration ;
National Technical Information Service distributor.
CisnerosMata, M. A., T. Brey, et al. (1996). "Artificial neural networks to forecast biomass of Pacific sardine and its environment." Ciencias Marinas 22(4): 427-442.
Clay, R. D. "Fault Tolerance in Feed-Forward Artificial Neural Networks (Neural Networks)." DAI, , 55, no. 09B, (1994): 3972.
Cleran, Y., J. Thibault, et al. (1991). "Comparison of Prediction Performances between Models Obtained by the Group Method of Data Handling and Neural Networks for the Alcoholic Fermentation Rate in Enology." Journal of Fermentation and Bioengineering 71(5): 356-362.
Clermont, G., D. C. Angus, et al. (2001). "Predicting hospital mortality for patients in the intensive care unit: a comparison of artificial neural networks with logistic regression models." Critical Care Medicine 29(2): 291-296.
Cline, P., W. Lannes, et al. (1997). "Use of pollution monitors with a neural network to predict insulator flashover." Electric Power Systems Research 42(1): 27-33.
Cline, P. (1998). "Use of pollution monitors with a neural network to predict insulator flashover." Fuel and Energy Abstracts 39(3): 196.
Cline, M., R. Hughey, et al. (2002). "Predicting reliable regions in protein sequence alignments." Bioinformatics (Oxford, England) 18(2): 306-314.
Clippingdale, S. and R. Wilson (1994). Self-similar neural networks based on a Kohonen learning rule. Warwick, England, University of Warwick Dept. of Computer Science.
Clothiaux, E. E. "Theoretical and Empirical Study of Visual Cortex Using the Bcm Neural Network Model (Neural Network)." DAI, , 51, no. 08B, (1990): 3888.
Cloys, K. P. (2000). A neural network solution to predicting wind speed at Cape Canaveral's atlas launch pad: 1 v. (various foliations).
Co*skuner, R. T. and Middle East Technical University. Department of Environmental Engineering. (2003). Modeling and forecasting air pollutants using artificial neural network approach. Ankara: 114 l.
Coates, T. D., Jr. (2001). "A neural network based cybernetic interface for identification of simple stimuli based on electrical activity in an intact whole nerve." DAI 62(07B): 3089.
Coats, T. J. (1998). "Prediction of outcome following injury using an artificial neural network." Injury 29(2): 163.
Cobourn, W. G., L. Dolcine, et al. (2000). "A comparison of nonlinear regression and neural network models for ground-level ozone forecasting." Journal Of The Air & Waste Management Association (1995) 50(11): 1999-2009.
Coburn, C. M. "Tax-2: A Putative Cyclic Nucleotide-Gated Channel Required for Sensory Neuron Function and Development in Caenorhabditis Elegans (Olfaction, Dauer Larva, Daf-11)." DAI, , 57, no. 12B, (1996): 7355.
Cocchi, G. and A. Uncini (2002). "Subband neural networks prediction for on-line audio signal recovery." Ieee Transactions on Neural Networks 13(4): 867-876.
Cocchi, G. and A. Uncini (2002). "Speech Processing for Multimedia - Subband Neural Networks Prediction for On-Line Audio Signal Recovery." IEEE transactions on neural networks 13(4): 10.
Cochrane, M. F. (2000). The effect of model formulation on the comparative performance of artificial neural networks and regression: xi, 143 leaves.
Cochrane, M. F. (2000). "The effect of model formulation on the comparative performance of artificial neural networks and regression (Multiple linear regression)." DAI 61(04B): 2178.
Coe, J. A. R. and G. M. Menon (1999). Computers and information technology in social work : education, training, and practice. New York, Haworth Press.
Cohen, D. A. (1996). Three case studies using an artificial neural network approach for energy and load prediction: xv, 161 leaves.
Collins, J. M. and M. R. Clark (1993). "An Application of the Theory of Neural Computation to the Prediction of Workplace Behavior - an Illustration and Assessment of Network Analysis." Personnel Psychology 46(3): 503-524.
Comrie, A. C. (1997). "Comparing neural networks and regression models for ozone forecasting." Journal of the Air & Waste Management Association 47(6): 653-663.
Condon, E. M. and University of Maryland (College Park Md.). College of Business and Management. (1997). Predicting the success of nations in the summer olympics using neural networks: vi, 108 leaves.
Condon, E. M., B. L. Golden, et al. (1999). "Predicting the success of nations at the Summer Olympics using neural networks." Computers & Operations Research 26(13): 1243-1265.
Connellan, O. and H. James (1998). "Estimated realisation price (ERP) by neural networks: forecasting commercial property values." Journal of Property Valuation & Investment 16(1): 71-86.
Connor, J. T. "Time Series and Neural Network Modeling (Nonlinear Autoregression)." DAI, , 54, no. 05B, (1993): 2651.
Connor, J. T. (1993). Time series and neural network modeling: vii, 137 leaves.
Connor, J. T., R. D. Martin, et al. (1994). "Recurrent Neural Networks and Robust Time-Series Prediction." Ieee Transactions on Neural Networks 5(2): 240-254.
Connor, J. T. (1996). "A robust neural network filter for electricity demand prediction." Journal of Forecasting 15(6): 437-458.
Consolazio, G. R. "Analysis of Highway Bridges Using Computer-Assisted Modeling, Neural Networks, and Data Compression Techniques." DAI, , 56, no. 11B, (1995): 6269.
Conway, A. (1994). "Echoed Time Series Predictions, Neural Networks and Genetic Algorithms." Vistas in astronomy 38(3): 351.
Conway, A. J. (1998). Time series, neural networks and the future of the Sun. Amsterdam ; New York, Elsevier Science B.V.
Conway, A. J., K. P. Macpherson, et al. (1998). "A neural network prediction of solar cycle 23." Journal of Geophysical Research-Space Physics 103(A12): 29733-29742.
Conway, A. J. (1998). "Time series, neural networks and the future of the Sun." New Astronomy Reviews 42(5): 343-394.
Conway, A. J., K. P. Macpherson, et al. (1998). "Delayed time series predictions with neural networks." Neurocomputing 18(1-3): 81-89.
Cook, D. F., J. G. Massey, et al. (1991). "A Neural Network to Predict Particleboard Manufacturing Process Parameters." Forest Science 37(5): 1463-1478.
Cook, D. F. and M. L. Wolfe (1991). "A Back-Propagation Neural Network to Predict Average Air Temperatures." Ai Applications 5(1): 40-46.
Cook, D. F. and R. E. Shannon (1992). "A Predictive Neural Network Modeling System for Manufacturing Process Parameters." International Journal of Production Research 30(7): 1537-1550.
Cook, D. F. and R. E. Shannon (1992). "A predictive neural network modelling system for manufacturing process parameters." International journal of production research 30(7): 1537-1550.
Cook, A. B., C. R. Fuller, et al. (1994). "Artificial Neural Networks for Predicting Nonlinear Dynamic Helicopter Loads." Aiaa Journal 32(5): 1072-1077.
Cook, D. F. and C. C. Chiu (1995). "Combining a radial basis neural network with time series analysis techniques to predict manufacturing process parameters." Applied Artificial Intelligence 9(6): 623-631.
Cook, D. F. and C. C. Chiu (1997). "Predicting the internal bond strength of particleboard, utilizing a radial basis function neural network." Engineering Applications of Artificial Intelligence 10(2): 171-177.
Cook, D. F. and C.-C. Chiu (1997). "Predicting the Internal Bond Strength of Particleboard, Utilizing a Radial Basis Function Neural Network." Engineering Applications of Artificial Intelligence 10(2): 171-177.
Corbacho-Abelaira, F. J. "Schema-Based Learning: Towards a Theory of Organization for Adaptive Autonomous Agents (Neural Networks)." DAI, , 58, no. 11B, (1997): 6053.
Corchado, J. M. and C. Fyfe (1999). "Unsupervised neural method for temperature forecasting." Artificial Intelligence in Engineering 13(4): 351-357.
Corma, A., J. M. Serra, et al. (2002). "Application of artificial neural networks to combinatorial catalysis: modeling and predicting ODHE catalysts." Chemphyschem: a European Journal Of Chemical Physics And Physical Chemistry 3(11): 939-945.
Corrigan, B. W., P. R. Mayo, et al. (1997). "Application of a neural network for gentamicin concentration prediction in a general hospital population." Therapeutic Drug Monitoring 19(1): 25-28.
Costello, K. A. "Moving the Rice Msfm into a Real-Time Forecast Mode Using Solar Wind Driven Forecast Modules (Magnetosphere, Neural Network, Artificial Intelligence)." DAI, , 59, no. 03B, (1998): 1175.
Costello, K. A. "Retraining Neural Networks for the Prediction of Dst in the Rice Magnetospheric Specification and Forecast Model." MAI, , 34, no. 05, (1996): 1969.
Costello, K. A. (1996). "Retraining neural networks for the prediction of Dst in the Rice magnetospheric specification and forecast model." MAI 34(05): 1969.
Cote, M., B. P. A. Grandjean, et al. (1995). "Dynamic Modeling of the Activated-Sludge Process - Improving Prediction Using Neural Networks." Water Research 29(4): 995-1004.
Cote, M., B. P. A. Grandjean, et al. (1995). "Dynamic modelling of the activated sludge process: improving prediction using neural networks." Water research 29(4): 995.
Cottrell, M., B. Girard, et al. (1995). "Neural modeling for time series: A statistical stepwise method for weight elimination." Neural Networks, IEEE Transactions on 6(6): 1355-1364.
Couellan, N. P. "Primal-Dual Techniques for Nonlinear Programming and Applications to Artificial Neural Network Training (Annealing, Decomposition)." DAI, , 58, no. 09B, (1997): 5044.
Coulibaly, P., F. Anctil, et al. (1999). "Hydrological forecasting with artificial neural networks: The state of the art." Canadian Journal of Civil Engineering 26(3): 293-304.
Coulibaly, P. (2000). Artificial neural networks for hydrological forecasting.
Coulibaly, P. (2000). "Artificial neural networks for hydrological forecasting." DAI 61(08B): 4292.
Coulibaly, P., F. Anctil, et al. (2000). "Neural network-based long-term hydropower forecasting system." Computer-Aided Civil and Infrastructure Engineering 15(5): 355-364.
Coulibaly, P., F. Anctil, et al. (2000). "A recurrent neural networks approach using indices of low-frenquency climatic variability to forecast regional annual runoff." Hydrological Processes 14(15): 2755-2777.
Coulibaly, P., F. Anctil, et al. (2000). "Daily reservoir inflow forecasting using artificial neural networks with stopped training approach." Journal of Hydrology 230(3-4): 244-257.
Coulibaly, P. (2001). Artificial neural networks for hydrological forecasting. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Coulibaly, P., F. Anctil, et al. (2001). "Multivariate reservoir inflow forecasting using temporal neural networks." Journal of Hydrologic Engineering 6(5): 367-376.
Coulibaly, P., B. Bobee, et al. (2001). "Improving extreme hydrologic events forecasting using a new criterion for artificial neural network selection." Hydrological Processes 15(8): 1533-1536.
Coveney, P. V., P. Fletcher, et al. (1996). "Using artificial neural networks to predict the quality and performance of oil-field cements." Ai Magazine 17(4): 41-53.
Cox, I. J., R. W. Lewis, et al. (2002). "Application of neural computing in basic oxygen steelmaking." Journal of Materials Processing Technology 120(1-3): 310-315.
Cozart, M. T. (1996). Evaluation of the 'Neural Gas' network vector quantization and approximation components: xiii, 51 leaves.
Cozzio-Bueler, E. A. "The Design of Neural Networks Using a Priori Knowledge." DAI, , 56, no. 04C, (1995): 1078.
Crair, M. C. "Non-Boltzmann Dynamics in Networks of Neurons (Spiking Properties)." DAI, , 53, no. 05B, (1991): 2355.
Craven, M. W. "Extracting Comprehensible Models from Trained Neural Networks (Machine Learning)." DAI, , 57, no. 09B, (1996): 5745.
Craven, M. W. (1996). Extracting comprehensible models from trained neural networks. Madison, Wis., University of Wisconsin-Madison Computer Sciences Dept.: xii, 199 p.
Cravener, T. L. and W. B. Roush (1999). "METABOLISM AND NUTRITION - Improving Neural Network Prediction of Amino Acid Levels in Feed Ingredients." Poultry science 78(7): 9.
Cravener, T. L. and W. B. Roush (1999). "Improving neural network prediction of amino acid levels in feed ingredients." Poultry Science 78(7): 983-991.
Cravener, T. L. and W. B. Roush (2001). "Prediction of amino acid profiles in feed ingredients:: Genetic algorithm calibration of artificial neural networks." Animal Feed Science and Technology 90(3-4): 131-141.
Crawford, D. W. and D. A. Purdie (1997). "Increase of PCO2 during blooms of Emiliania huxleyi: Theoretical considerations on the asymmetry between acquisition of HCO3- and respiration of free CO2." Limnology and Oceanography 42(2): 365-372.
Creech, G. L. I. "Neural Network Modeling for Gallium Arsenide Ic Fabrication Process and Device Characteristics." DAI, , 57, no. 05B, (1996): 3332.
Creech, G. L. I. (1996). "Neural network modeling for gallium arsenide IC fabrication process and device characteristics." DAI 57(05B): 3332.
Creedy, J. and V. Martin (1997). Nonlinear economic models : cross-sectional, time series and neural network applications. Cheltenham, U.K. ; Lyme, N.H., E. Elgar.
Crone, S. F. (2002). Training Artificial Neural Networks using Asymmetric Cost Functions. Computational Intelligence for the E-Age. L. Wang, J. C.Rajapakse, K.Fukushima and X. Y. S.-Y.Lee. Singapore, IEEE: pp. 2374-2380.
Crowther and Cooper (2001). "Flight test flutter prediction using neural networks." Proceedings of the I MECH E Part G Journal of Aerospace Engineering 215(1): 37-47.
Crowther, W. J. and J. E. Cooper (2001). "Plight test flutter prediction using neural networks." Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering 215(G1): 37-47.
Cruikshank, S. J. "Evaluation of the Hebbian/Covariance Hypothesis in Receptive Field Plasticity of Adult Auditory Cortical Neurons." DAI, , 58, no. 04B, (1997): 1721.
Crumiere, M. (1999). "Artificial neural network prediction of ground-level ozone concentration in Palm Beach County (Florida)." MAI 38(02): 469.
Crumière, M. (1999). Artificial neural network prediction of ground-level ozone concentration in Palm Beach County: viii, 86 leaves.
Cubero, R. G. (1991). "Neural Networks for Water Demand Time-Series Forecasting." Lecture Notes in Computer Science 540: 453-460.
Cubiles-de-la-Vega, M.-D., R. Pino-Mejâias, et al. (2002). "Building neural network forecasting models from time series ARIMA models: A procedure and a comparative analysis." Intelligent Data Analysis 6(1): 13.
Cui, X. "Intelligent Coordination of Multiple Systems with Neural Networks (Robotics)." DAI, , 53, no. 05B, (1992): 2459.
Cui, X. and K. G. Shin (1994). "Design of a General-Purpose MIMO Predictor with Neural Networks." Journal of intelligent material systems and structures 5(2): 198-210.
Cui, X. Z. and K. G. Shin (1994). "Design of a General-Purpose Mimo Predictor with Neural Networks." Journal of Intelligent Material Systems and Structures 5(2): 198-210.
Cummings, J. M., J. A. Boullier, et al. (2000). "Prediction of spontaneous ureteral calculous passage by an artificial neural network." The Journal Of Urology 164(2): 326-328.
Cummins, G. I. (2001). "Compartmental models and genetic algorithms provide insight into structure-function relationships in the lateral dendrite of the Mauthner neuron." DAI 62(11B): 4963.
Cundari, T. R. and E. W. Moody (1998). "Prediction of bond dissociation energies using neural network, statistical, and quantum mechanical approaches." Journal of Molecular Structure: THEOCHEM 425(1-2): 43-50.
Curry, B. (2004). "'Simple' neural networks for forecasting." Omega 32(2): 97-100.
Curtiss, P. S. "Artificial Neural Networks for Use in Building Systems Control and Energy Management (Neural Networks)." DAI, , 53, no. 12B, (1992): 6436.
Curtiss, P. S., J. F. Kreider, et al. (1993). Adaptive control of HVAC processes using predictive neural networks. Atlanta, Ga., American Society of Heating Refrigerating and Air-Conditioning Engineers.
Curtiss, P. S., J. F. Kreider, et al. (1993). "Adaptive Control of HVAC Processes Using Predictive Neural Networks." ASHRAE transactions 99(1): 496-504.
Cusack, G. (1991). Stock market prediction using neural networks. St Lucia, Qld. ,: 1 v.
Czernichow, T., A. Piras, et al. (1996). "Short term electrical load forecasting with artificial neural networks." Engineering Intelligent Systems for Electrical Engineering and Communications 4(2): 85-99.
Czezowski, P. J. "Topics in Pattern Recognition Using Unsupervised Learning (Artificial Neural Networks)." MAI, , 34, no. 01, (1994): 0374.
D'Souza, E. J. "Neural Networks in Economic Forecasting: A Study of Stocks in S&P 500 Index, from 1983 to 1991." MAI, , 34, no. 01, (1995): 0341.
D'Souza, E. (1995). Neural networks in economic forecasting : a study of stocks in S & P 500 index, from 1983 to 1991: vii, 72 leaves.
da Silva, A. P. and L. S. Moulin (2000). "Confidence intervals for neural network based short-term load forecasting." Ieee Transactions on Power Systems 15(4): 1191-1196.
da Silva, A. P. A., U. P. Rodrigues, et al. (2001). NeuroDem-a neural network based short term demand forecaster. Power Tech Proceedings, 2001 IEEE Porto.
Dabak, A. G. and D. H. Johnson (1992). "Function-based modeling of binaural processing: Interaural phase." Hearing Research 58(2): 200-212.
Dagg, J. M. and Air Force Institute of Technology (U.S.) (1991). An exploratory application of neural networks to the sortie generation forecasting problem. Wright-Patterson AFB, Ohio, Air Force Institute of Technology Air University: ix, 167 p.
Dagher, I. J. "Properties of Learning of the Fuzzy Art Neural Network and Improvements of the Generalization Performance of the Fuzzy Artmap Neural Network (Pattern Classification)." DAI, , 58, no. 10B, (1997): 5544.
Dalmas, B., G. J. Hunter, et al. (1994). "Prediction of Protein Secondary Structure from Circular-Dichroism Spectra Using Artificial Neural-Network Techniques." Biochemistry and Molecular Biology International 34(1): 17-26.
Daneshdoost, M., M. Lotfalian, et al. (1998). "Neural network with fuzzy set-based classification for short-term load forecasting." Ieee Transactions on Power Systems 13(4): 1386-1391.
Danesi, R. and A. D. Paolo (2003). "Predicting survival with artificial neural networks." Clinical Colorectal Cancer 2(4): 245.
Danh, N. T., H. N. Phien, et al. (1999). "Neural network models for river flow forecasting." Water Sa 25(1): 33-39.
Daniell, C. and R. Matic (1999). Neural networks for coefficient prediction in wavelet image coders. Engineering Applications of Bio-Inspired Artificial Neural Networks, Vol Ii. Berlin, SPRINGER-VERLAG BERLIN. 1607: 351-360.
Daoping, H. and A. R. van Cauwenberghe (1998). "Neural-network-based multiple feedback long-range predictive control." Neurocomputing 18(1-3): 127-139.
Darbellay, G. A. and M. Slama (2000). "Forecasting the short-term demand for electricity: Do neural networks stand a better chance?" International Journal of Forecasting 16(1): 71-83.
Darbellay, G. A. and M. Slama (2000). "Forecasting the short-term demand for electricity - Do neural networks stand a better chance?" International Journal of Forecasting 16(1): 71-83.
Darlot, C. (1993). "The cerebellum as a predictor of neural messages--I The stable estimator hypothesis." Neuroscience 56(3): 617.
Das, S. "Noisy Recurrent Neural Networks (White Noise)." DAI, , 58, no. 03B, (1996): 1433.
Das, S. "Second Order Neural Networks (Polynominal Neural Networks)." DAI, , 55, no. 09B, (1994): 4033.
Das, A., R. C. Wong, et al. (2000). "Artificial neural network based prediction of outcome of lower gastrointestinal bleeding - A potential tool for triage." Gastrointestinal Endoscopy 51(4): AB135-AB135.
Das, A., R. C. Wong, et al. (2000). "Artificial neural network - A tool for predicting need for endoscopic treatment in patients with nonvariceal upper gastrointestinal bleeding." Gastrointestinal Endoscopy 51(4): AB136-AB136.
Das, A., T. Ben Menachem, et al. (2001). "Validation of an artificial neural network trained to predict outcome of patients with acute lower gastrointestinal hemorrhage." Gastrointestinal Endoscopy 53(5): AB183-AB183.
Das, A., T. Ben-Menachem, et al. (2001). "Validation of an artificial neural network (ANN) trained to predict stigmata of recent hemorrhage (SRH) and need for endoscopic therapy in patients with acute nonvariceal upper gastrointestinal hemorrhage (UGIH)." Gastrointestinal Endoscopy 53(5): AB211-AB211.
Das, A., R. Banerjee, et al. (2001). "Artificial neural network is accurate in predicting mortality in patients with cirrhosis." The American Journal of Gastroenterology 96(1): S263.
Dasgupta, C. G., G. S. Dispensa, et al. (1994). "Comparing the Predictive Performance of a Neural-Network Model with Some Traditional Market Response Models." International Journal of Forecasting 10(2): 235-244.
Dash, P. K., A. C. Liew, et al. (1995). "Peak Load Forecasting Using a Fuzzy Neural-Network." Electric Power Systems Research 32(1): 19-23.
Dash, P. K., A. C. Liew, et al. (1995). "Building a Fuzzy Expert-System for Electric-Load Forecasting Using a Hybrid Neural-Network." Expert Systems with Applications 9(3): 407-421.
Dash, P. K., A. C. Liew, et al. (1995). "Power-Demand Forecasting Using a Neural-Network with an Adaptive Learning Algorithm." Iee Proceedings-Generation Transmission and Distribution 142(6): 560-568.
Dash, P. K., G. Ramakrishna, et al. (1995). "Fuzzy Neural Networks for Time-Series Forecasting of Electric-Load." Iee Proceedings-Generation Transmission and Distribution 142(5): 535-544.
Dash, P. K., A. C. Liew, et al. (1995). "Peak load forecasting using a fuzzy neural network." Electric Power Systems Research 32(1): 19-23.
Dash, P. K., A. C. Liew, et al. (1995). "Building a fuzzy expert system for electric load forecasting using a hybrid neural network." Expert Systems with Applications 9(3): 407-421.
Dash, P. K., A. C. Liew, et al. (1996). "Fuzzy neural network and fuzzy expert system for load forecasting." Iee Proceedings-Generation Transmission and Distribution 143(1): 106-114.
Dash, P. K., H. P. Satpathy, et al. (1998). "A real-time short-term peak and average load forecasting system using a self-organising fuzzy neural network." Engineering Applications of Artificial Intelligence 11(2): 307-316.
Dash, P. K., A. C. Liew, et al. (1999). "A functional-link-neural network for short-term electric load forecasting." Journal of Intelligent & Fuzzy Systems 7(3): 209-221.
Dassen, W. R., F. W. Bar, et al. (1996). "An artificial neural network versus classical statistical methods to predict reperfusion after thrombolytic therapy." Journal of the American College of Cardiology 27(1): 247.
Datta, D. and S. A. Tassou (1998). "Artificial neural network based electrical load prediction for food retail stores." Applied Thermal Engineering 18(11): 1121-1128.
Daugherty, E. L. (1994). Short-term electric load forecasting using artificial neural networks: 99 leaves.
Davachi, L., A. Maril, et al. (2001). "When keeping in mind supports later bringing to mind: Neural markers of phonological rehearsal predict subsequent remembering." Journal of Cognitive Neuroscience 13(8): 1059-1070.
Davachi, L., J. Mitchell, et al. (2001). "Neural bases of associative encoding: Predicting subsequent memory for source." Neuroimage 13(6): S657-S657.
Davalos, S., R. D. Gritta, et al. (1999). "The application of a neural network approach to predicting bankruptcy risks facing the major US air carriers: 1979-1996." Journal of Air Transport Management 5(2): 81-86.
Davari, A., S. Macha, et al. (2001). "Neural Network Predictor of a Circulating Fluidized Bed." Proceedings 33: 355-358.
Davey, N. J., P. H. Ellaway, et al. (1986). "Statistical limits for detecting change in the cumulative sum derivative of the peristimulus time histogram." Journal of Neuroscience Methods 17(2-3): 153-166.
David, O. and A. Johnston (1999). "Predicting cyclosporin area under the concentration-time curve is better achieved using artificial neural networks than linear regression." British Journal of Clinical Pharmacology 47(5): 589-590.
Davis, J. L., H. Eichenbaum, et al. (1991). Olfaction : a model system for computational neuroscience. Cambridge, Mass., MIT Press.
Davis, G. E., W. E. Lowell, et al. (1993). "A Neural Network That Predicts Psychiatric Length of Stay." M D Computing 10(2): 87-92.
Davoodi, R., R. Kamnik, et al. (2001). "Predicting the voluntary arm forces in FES-assisted standing up using neural networks." Biological Cybernetics 85(2): 133-143.
Dawson, C. W. and R. L. Wilby (1999). "A comparison of artificial neural networks used for river flow forecasting." Hydrology and Earth System Sciences 3(4): 529-540.
Dawson, C. W., C. Harpham, et al. (2002). "Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China." Hydrology and Earth System Sciences 6(4): 619-626.
Day, S. P. "Dispersive Neural Networks for Adaptive Signal Processing (Signal Processing)." DAI, , 54, no. 08B, (1993): 4309.
Dazsi, B. A. (2001). Artificial neural networks for branch prediction: xi, 73 leaves.
Dazsi, B. A. (2001). "Artificial neural networks for branch prediction." MAI 40(02): 463.
de Carvalho, M. C. M., M. S. Dougherty, et al. (1998). "Forecasting travel demand: a comparison of logit and artificial neural network methods." Journal of the Operational Research Society 49(7): 717-722.
de Castro, B. M. F., J. M. P. Sanchez, et al. (2003). "Prediction of SO2 levels using neural networks." Journal of the Air & Waste Management Association 53(5): 532-539.
De Falco, I., A. Della Cioppa, et al. (1998). Optimizing neural networks for time series prediction. Third World Conference on Soft Computing.
De Falco, I., A. Iazzetta, et al. (2000). "The seismicity in the Southern Tyrrhenian area and its neural forecasting." Pure and Applied Geophysics 157(3): 343-355.
De Gooijer, J. G. and K. Kumar (1992). "Some recent developments in non-linear time series modelling, testing, and forecasting." International Journal of Forecasting 8: 135-156.
de Groot, C. and D. Wurtz (1991). "Analysis of univariate time series with connectionist nets: A case study of two classical examples." Neurocomputing 3(4): 177-192.
de la Cruz, X., E. G. Hutchinson, et al. (2002). "Toward predicting protein topology: an approach to identifying beta hairpins." Proceedings Of The National Academy Of Sciences Of The United States Of America 99(17): 11157-11162.
De Martini, A. (1996). Developing and training of a neural network to analyze and predict energy efficiency in residential buildings: x, 138 leaves.
De Matos, G. "Neural Networks for Forecasting Foreign Exchange Rates." MAI, , 33, no. 03, (1994): 0753.
de Oliveira, K. A., A. Vannucci, et al. (2000). "Using artificial neural networks to forecast chaotic time series." Physica A: Statistical Mechanics and its Applications 284(1-4): 393-404.
De Souza, M. B., J. C. Pinto, et al. (1996). "Control of a chaotic polymerization reactor: A neural network based model predictive approach." Polymer Engineering and Science 36(4): 448-457.
de Stefano, A., D. Sabia, et al. (1999). "Probabilistic neural networks for seismic damage mechanisms prediction." Earthquake Engineering & Structural Dynamics 28(8): 807-821.
de Vasconcelos, M. J. P., S. Silva, et al. (2001). "Spatial prediction of fire ignition probabilities: Comparing logistic regression and neural networks." Photogrammetric Engineering and Remote Sensing 67(1): 73-81.
De Veaux, R. D., J. Schumi, et al. (1998). "Prediction intervals for neural networks via nonlinear regression." Technometrics 40(4): 273-282.
De Vito, D. T. J. (2000). "Modeling aerosol puff concentration distributions from point sources using artificial neural networks." MAI 40(05): 1267.
De Vries, B. "Temporal Processing with Neural Networks: The Development of the Gamma Model." DAI, , 53, no. 02B, (1991): 0987.
De Waal, R. (2000). Objective prediction of pure tone thresholds in normal and hearing-impaired ears with distortion product otoacoustic emissions and artificial neural networks. Pretoria, s.n.: 259 p.
de Waal, R. (2001). "Objective prediction of pure tone thresholds in normal and hearing-impaired ears with distortion product otoacoustic emissions and artificial neural networks." DAI 62(10B): 4446.
Deadrick, M. A. (1993). The development and simulation of an artificial neural network position prediction algorithm for use with a two degree-of-freedom target tracking system: ix, 158 leaves.
Dean, A. R. (2000). Forecasting warm-season burnoff at the San Francisco International Airport using linear regression and a neural network: x, 67 leaves.
Dean, A. R. and B. H. Fiedler (2002). "Forecasting warm-season burnoff of low clouds at the San Francisco International Airport using linear regression and a neural network." Journal of Applied Meteorology 41(6): 629-639.
Deangelis, G. C. "Linear and Nonlinear Mechanisms of Neuronal Function in the Visual Cortex (Receptive Field)." DAI, , 54, no. 06B, (1992): 2918.
Debnath, S., M. Madhusoothanan, et al. (2000). "Prediction of air permeability of needle-punched nonwoven fabrics using artificial neural network and empirical models." Indian Journal of Fibre & Textile Research 25(4): 251-255.
deBraal, L., N. Ezquerra, et al. (1996). Analyzing and predicting images through a neural network approach. Visualization in Biomedical Computing. Berlin 33, SPRINGER-VERLAG BERLIN. 1131: 253-258.
Deco, G., R. Neuneier, et al. (1997). "Non-parametric Data Selection for Neural Learning in Non-Stationary Time Series." Neural Networks 10(3): 401-407.
Deco, G. and B. Sch·urmann (2001). Information dynamics : foundations and applications. New York, Springer.
Dedecker, A. P., P. L. M. Goethals, et al. (2002). "Comparison of Artificial Neural Network (ANN) Model Development Methods for Prediction of Macroinvertebrate Communities in the Zwalm River Basin in Flanders, Belgium." ScientificWorldJournal 2(1): 96-104.
DeFriess, J. A. (2001). Application of neural networks and fuzzy logic for manufacturing process control: ix, 85 leaves.
Degim, T., J. Hadgraft, et al. (2003). "Prediction of skin penetration using artificial neural network (ANN) modeling." Journal Of Pharmaceutical Sciences 92(3): 656-664.
Deivasigamani, T. (1996). Neural networks for forecasting.
Delagarza, R., II "Determination of Neuronal Morphology in Spinal Monolayer Cultures (Horseradish Peroxidase)." MAI, , 27, no. 04, (1989): 0474.
DeLano, D. R. (1996). An evaluation of the use of neural networks to predict financial stress on Kansas farms: iv, 60 leaves.
Delgrange, N., C. Cabassud, et al. (1998). "Neural networks for prediction of ultrafiltration transmembrane pressure - application to drinking water production." Journal of Membrane Science 150(1): 111-123.
Delgrange-Vincent, N., C. Cabassud, et al. (2000). "Neural networks for long term prediction of fouling and backwash efficiency in ultrafiltration for drinking water production." Desalination 131(1-3): 353-362.
Dell'Acqua, F. and P. Gamba (2003). "Pyramidal rain field decomposition using radial basis function neural networks for tracking and forecasting purposes." Ieee Transactions on Geoscience and Remote Sensing 41(4): 853-862.
Delnero, C. and Colorado State University. Dept. of Mechanical Engineering. (2001). Neural networks and PI control using steady state prediction applied to a heating coil: xiv, 119 leaves.
Demeler, B. and G. W. Zhou (1991). "Neural Network Optimization for Escherichia-Coli Promoter Prediction." Nucleic Acids Research 19(7): 1593-1599.
Denegri, C. M. and M. R. Johnson (2001). "Limit cycle oscillation prediction using artificial neural networks." Journal of Guidance Control and Dynamics 24(5): 887-895.
Deng, L., K. Hassanein, et al. (1994). "Analysis of the Correlation Structure for a Neural Predictive Model With Application to Speech Recognition." Neural networks : the official journal of the International Neural Network Society 7(2): 331-340.
Deng, L. (1998). "A dynamic, feature-based approach to the interface between phonology and phonetics for speech modeling and recognition." Speech Communication 24(4): 299-323.
Denise, P. and C. Darlot (1993). "The cerebellum as a predictor of neural messages--II Role in motor control and motion sickness." Neuroscience 56(3): 647.
Denoeux, T. and P. Rizand (1995). "Analysis of Radar Images for Rainfall Forecasting Using Neural Networks." Neural Computing & Applications 3(1): 50-61.
Denzer, R. (2000). Environmental software systems : environmental information and decision support ; IFIP TC5 WG5.11, 3rd International Symposium on Environmental Software Systems (ISESS'99), August 30-September 2, 1999, Dunedin, New Zealand. Boston, Kluwer Academic.
Deo, M. C. and G. Chaudhari (1998). "Tide Prediction Using Neural Networks." Computer-Aided Civil and Infrastructure Engineering 13(2): 8.
Deo, M. C. and C. Sridhar Naidu (1998). "Real time wave forecasting using neural networks." Ocean Engineering 26(3): 191-203.
Deo, M. C. and C. S. Naidu (1999). "Real time wave forecasting using neural networks." Ocean Engineering 26(3): 191-203.
Deo, M. C., A. Jha, et al. (2001). "Neural networks for wave forecasting." Ocean Engineering 28(7): 889-898.
Deo, M. C. and S. S. Jagdale (2003). "Prediction of breaking waves with neural networks." Ocean Engineering 30(9): 1163-1178.
Deppisch, J., H. U. Bauer, et al. (1991). "Hierarchical Training of Neural Networks and Prediction of Chaotic Time-Series." Physics Letters A 158(1-2): 57-62.
Derks, E. P. P. A., M. S. S. Pastor, et al. (1995). "Robustness analysis of radial base function and multi-layered feed-forward neural network models." Chemometrics and Intelligent Laboratory Systems 28(1): 49-60.
Derks, E. P. P. A., M. L. M. Beckers, et al. (1996). "Parallel processing of chemical information in a local area network--II. A parallel cross-validation procedure for artificial neural networks." Computers & Chemistry 20(4): 439-448.
Derr, V. E. and R. J. Slutz (1994). "Prediction of El-Nino Events in the Pacific by Means of Neural Networks." Ai Applications 8(2): 51-63.
Desai, R. H. "Prediction of Archeological Sites by Artificial Neural Networks." MAI, , 34, no. 06, (1995): 2395.
Desai, R. (1995). Prediction of archeological sites by artificial neural networks: viii, 43 leaves.
Desai, R. H. (1995). "Prediction of archeological sites by artificial neural networks." MAI 34(06): 2395.
Desai, V. S. and R. Bharati (1998). "The efficacy of neural networks in predicting returns on stock and bond indices." Decision Sciences 29(2): 405-425.
Desai, V. S. and R. Bharati (1998). "A comparison of linear regression and neural network methods for predicting excess returns on large stocks." Annals of Operations Research 78: 127-163.
DeSilets, L., B. Golden, et al. (1992). "Predicting Salinity in the Chesapeake Bay Using Backpropagation." Computers and Operations Research 19(3-4): 277-285.
Devika, P. D. (1994). Feed forward neural network forecasting of time series: xi, 88 leaves, bound.
Devika, P. D. and L. E. K. Achenie (1995). "On the Use of Quasi-Newton-Based Training of a Feedforward Neural-Network for Time-Series Forecasting." Journal of Intelligent & Fuzzy Systems 3(4): 287-294.
DeVillers, J. (2000). "Prediction of toxicity of organophosphorus insecticides against the midge, Chironomus riparius, via a QSAR neural network model integrating environmental variables." Toxicology Methods 10(1): 69-79.
Devoe, L. D., S. Samuel, et al. "Predicting the duration of the first stage of spontaneous labor using a neural network." The Journal Of Maternal-Fetal Medicine 5(5): 256-261.
Devoe, L. D., E. Carlton, et al. (1995). "Neural-Network Prediction of Nonstress Test-Results - How Often Should We Perform Nonstress Tests." American Journal of Obstetrics and Gynecology 173(4): 1128-1131.
Devoe, L. D., E. Carlton, et al. (1995). "Neural network prediction of nonstress test results: How often should we perform nonstress tests?" American journal of obstetrics and gynecology 173(4): 4.
Dhar, A. "Development of Fourier Series and Artificial Neural Network Approaches to Model Hourly Energy Use in Commercial Buildings." DAI, , 56, no. 06B, (1995): 3398.
Dharia, A. and H. Adeli (2003). "Neural network model for rapid forecasting of freeway link travel time." Engineering Applications of Artificial Intelligence 16(7-8): 607-613.
Dhiantravan, Y. "Neural Network Control of Unknown Systems with Time Delay (Smith Predictor)." DAI, , 59, no. 08B, (1998): 4323.
Dhiantravan, Y. (1998). "Neural Network Control of Unknown Systems with Time Delay (Smith Predictor)." DAI 59(08B): 207.
Di, S. and P. F. Thomson (1997). "Neural network approach for prediction of wrinkling limit in square metal sheet under diagonal tension." Journal of Testing and Evaluation 25(1): 74-81.
Di Mascolo, N. (1992). Model predictive control of distillation columns using neural network models: x, 104 leaves.
Dia, H. (2001). "An object-oriented neural network approach to short-term traffic forecasting." European Journal of Operational Research 131(2): 253-261.
Diambra, L. and A. Plastino (1996). "Modelling time series using information theory." Physics Letters A 216(6): 278-282.
Diamond, D. M. "Physiological Plasticity of Single Neurons in Auditory Cortex of the Cat During Learning." DAI, , 46, no. 10B, (1985): 3349.
Dias, W. P. S. and S. P. Pooliyadda (2001). "Neural networks for predicting properties of concretes with admixtures." Construction and Building Materials 15(7): 371-379.
Diaz, G. C. (2000). "Simulation and control of heat exchangers using artificial neural networks." DAI 61(01B): 482.
Diaz, G., M. Sen, et al. (2001). "Dynamic prediction and control of heat exchangers using artificial neural networks." International Journal of Heat and Mass Transfer 44(9): 1671-1679.
Dibike, Y. B. and D. P. Solomatine (2001). "River flow forecasting using artificial neural networks." Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere 26(1): 1-7.
Diederichs, K., J. Freigang, et al. (1998). "Prediction by a neural network of outer membrane beta-strand protein topology." Protein Science: a Publication Of The Protein Society 7(11): 2413-2420.
Diekmann, A. and A. Gutjahr (1998). Prediction of the Euro-Dollar Future Using Neural Networks A Case Study for Financial Time Series Prediction. IDEAL'98 Secretariat
Department of Computer Science & Engineering (Honk Kong). Karlsruhe.
Dietmann, S. and C. Frommel (2002). "Prediction of 3D neighbours of molecular surface patches in proteins by artificial neural networks." Bioinformatics (Oxford, England) 18(1): 167-174.
Dillon, R. M. and C. N. Manikopoulos (1991). "Neural Net Nonlinear Prediction for Speech Data." Electronics Letters 27(10): 824-826.
Dillon, T. S., S. Sestito, et al. (1991). "Short-Term Load Forecasting Using an Adaptive Neural Network." International Journal of Electrical Power & Energy Systems 13(4): 186-192.
Dillon, T. S., S. Sestito, et al. (1991). "Short term load forecasting using an adaptive neural network." International Journal of Electrical Power & Energy Systems 13(4): 186-192.
Dillon, T. S. and D. Niebur (1996). Neural networks applications in power systems. London, CRL Publishing.
Dimitras, A. I., S. H. Zanakis, et al. (1996). "A survey of business failures with an emphasis on prediction methods and industrial applications." European Journal of Operational Research 90(3): 487-513.
Ding, A. A. "Prediction Intervals and Confidence Intervals for Neural Networks and Help." DAI, , 57, no. 07B, (1996): 4628.
Ding, H., S. Z. Yang, et al. (1993). "Intelligent Prediction and Control of a Leadscrew Grinding Process Using Neural Networks." Computers in Industry 23(3): 169-174.
Ding, X., S. Canu, et al. (1996). Neural Network based models for forecasting. Neural Networks and their Applications. J. G. Taylor. Chichester, John Wiley and Sons,: 153-167.
Ding, M. (1998). Neural network-based generalized predictive control of uncertain systems: vi, 136 leaves.
Ding, A. A. (1999). "Neural-network prediction with noisy predictors." Ieee Transactions on Neural Networks 10(5): 1196-1203.
DiRaddo, R., A. García-Rejón, et al. (1992). Prediction of parison thickness profiles from specified part thickness profiles : neural networks and discretized optimization approaches. Boucherville, Quebec, Canada, Industrial Materials Institute NRCC.
DiRaddo, R., A. García-Rejón, et al. (1993). Modeling of membrane inflation in blow molding : neural network prediction of initial dimensions from final part specifications. Boucherville, Quebec, Canada, Industrial Materials Institute NRCC.
DiRaddo, R., A. García-Rejón, et al. (1993). On-line prediction of final part dimensions in blow molding : a neural network computing approach. Boucherville, Quebec, Canada, Industrial Materials Institute NRCC.
Diraddo, R. W. and A. Garciarejon (1993). "Online Prediction of Final Part Dimensions in Blow Molding - a Neural-Network Computing Approach." Polymer Engineering and Science 33(11): 653-664.
Diraddo, R. W. and A. Garciarejon (1993). "Modeling of Membrane Inflation in Blow Molding - Neural-Network Prediction of Initial Dimensions from Final Part Specifications." Advances in Polymer Technology 12(1): 3-24.
DiRaddo, R. W. and A. Garcia-Rejon (1993). "Modeling of Membrane Inflation in Blow Molding: Neural Network Prediction of Initial Dimensions from Final Part Specifications." Advances in polymer technology 12(1): 3-24.
DiRaddo, R., A. García-Rejón, et al. (1994). Neural network boolean prediction of melt fracture. Boucherville, Quebec, Canada, NRCC Industrial Materials Institute.
Diraddo, R. W., M. Lato, et al. (1995). "Neural-Network Boolean Prediction of Melt Fracture." Plastics Rubber and Composites Processing and Applications 23(2): 127-130.
DiRusso, S., T. Sullivan, et al. (1999). "An artificial neural network model for prediction of survival in trauma patients: Co-morbid conditions do not improve model performance." Critical Care Medicine 27(1): A179-A179.
DiRusso, S. M., G. P. Kealey, et al. (1999). "An artificial neural network as a model for prediction of survival in trauma patients: External validation with a dissonant data set." Critical Care Medicine 27(12): A153-A153.
DiRusso, S. M., A. Chahine, et al. (2000). "Development of an artificial neural network to predict trauma survival in pediatric patients." Critical Care Medicine 28(12): A29-A29.
DiRusso, S. M., T. Sullivan, et al. (2000). "An artificial neural network as a model for prediction of survival in trauma patients: validation for a regional trauma area." The Journal Of Trauma 49(2): 212-220; discussion 220-223.
DiRusso, S. M., A. A. Chahine, et al. (2002). "Development of a model for prediction of survival in pediatric trauma patients: comparison of artificial neural networks and logistic regression." Journal Of Pediatric Surgery 37(7): 1098-1104; discussion 1098-1104.
Disorntetiwat, P. (2001). Global stock index forecasting using multiple generalized regression neural networks with a gating network: x, 219 p.
Disorntetiwat, P. (2001). "Global stock index forecasting using multiple generalized regression neural networks with a gating network." DAI 62(04B): 2039.
Dittmann, U. R. A. (1995). Neural net prediction of tokamak plasma disruptions: vi, 30 leaves.
Djavan Bob, Zlotta Alexandre, et al. (2002). "Complex PSA and complex PSA indices in combination with artificial neural networks to predict the outcome of repeat prostate biopsies: results of the European prostate cancer detection study." European Urology Supplements 1(1): 119.
Djebbar, Y. and R. M. Narbaitz (2002). "Neural network prediction of air stripping K(L)a." Journal of Environmental Engineering-Asce 128(5): 451-460.
Djebbar, Y. and R. M. Narbaitz (2003). "Closure to "Neural network prediction of air stripping K(L)a"." Journal of Environmental Engineering-Asce 129(8): 781-781.
Djebbar, Y. and R. M. Narbaitz (2003). "Closure to "Neural Network Prediction of Air Stripping KLa" by Y Djebbar and R M Narbaitz." Journal of environmental engineering 129(8): 781.
Djukanovic, M. B., D. P. Popovic, et al. (1993). "Prediction of Power-System Frequency-Response after Generator Outages Using Neural Nets." Iee Proceedings-C Generation Transmission and Distribution 140(5): 389-398.
Djukanovic, M., S. Ruzic, et al. (1995). "A neural-net based short term load forecasting using moving window procedure." International Journal of Electrical Power & Energy Systems 17(6): 391-397.
Djukanovic, M., S. Ruzic, et al. (1995). "A neural-net based short term load forecasting using moving window procedure." International Journal of Electrical Power & Energy Systems 17(6): 391-397.
Djukanovic, M. (1996). "A neural-net based short term load forecasting using moving window procedure." Fuel and Energy Abstracts 37(2): 113.
Dmitrieva, L., Y. Kuperin, et al. (2002). Neural network prediction of short-term dynamics of futures on Deutsche Mark, Libor and S&P500. Computational Science-Iccs 2002, Pt Iii, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2331: 1201-1208.
Dmitrieva, L., Y. Kuperin, et al. (2002). "Neural Network Prediction of Short-Term Dynamics of Futures on Deutsche Mark, Libor, and S&P500." Lecture notes in computer science(2331): 1201-1208.
Dobbs, H., E. Orlandini, et al. (2002). "Optimal potentials for predicting inter-helical packing in transmembrane proteins." Proteins 49(3): 342-349.
Dobmann, G., M. Kroning, et al. (1995). "Nondestructive characterization of materials (ultrasonic and micromagnetic techniques) for strength and toughness prediction and the detection of early creep damage." Nuclear Engineering and Design 157(1-2): 137-158.
Dobmann, G. (1996). "NDT tools for the prediction of strength and toughness parameters of pressure vessel steels." NDT & E International 29(5): 336.
Dobmann, G., M. Kroening, et al. (1997). "Nondestructive characterization of materials (ultrasonic and micromagnetic techniques) for strength and toughness prediction and the detection of early creep damage." NDT & E International 30(5): 326.
Dobros, W., A. Izworski, et al. (2001). "Efficiency of artificial neural networks for prediction of regional lymph node metastasis." Otolaryngologia Polska. The Polish Otolaryngology 55(1): 43-45.
Dochy, T. and M. Danech-Pajouh (1995). Short-term road traffic forecasting using neural network.
Dochy, T., M. Danech-Pajouh, et al. (1995). Short term traffic forecasting using neuronal network.
Dodier, R. H. (1995). Statistical properties of neural networks, with application to building energy prediction: viii, 88 leaves.
Dohnal, V., M. Farkova, et al. (1999). "Prediction of chiral separations using a combination of experimental design and artificial neural networks." Chirality 11(8): 616-621.
Doig, G. S. (1999). "Severity of illness scoring in the intensive care unit: A comparison of logistic regression and artificial neural networks." DAI 60(09B): 4497.
Dolling, O. R. and E. A. Varas (2002). "Artificial neural networks for streamflow prediction." Journal of Hydraulic Research 40(5): 547-554.
Donadille, C., R. Perisse, et al. (1992). "Prediction of Steel Transformation Curves by Neural Networks." Revue De Metallurgie-Cahiers D Informations Techniques 89(10): 892-894.
Donaldson, R. G. and M. Kamstra (1996). "Forecast combining with neural networks." Journal of Forecasting 15(1): 49-61.
Donaldson, R. G. and M. Kamstra (1999). "Articles - Neural Network Forecast Combining with Interaction Effects." Journal of the Franklin Institute 336(2): 10.
Donaldson, R. G. and M. Kamstra (1999). "Neural network forecast combining with interaction effects." Journal of the Franklin Institute 336(2): 227-236.
Donaldson, S. F. (2001). "An artificial neural network for multi-level interleaved and creative serial order cognitive behavior." DAI 62(07B): 3269.
Dong, Z.-Y., B.-L. Zhang, et al. (2001). Adaptive neural network short term load forecasting with wavelet decompositions. Power Tech Proceedings, 2001 IEEE Porto.
Dong, L., A. Yan, et al. (2001). "Research and prediction of coordination reactions between CPA-mA and some metal ions using artificial neural networks." Computers & Chemistry 25(6): 551-558.
Dong, C. Q., B. S. Jin, et al. (2003). "Predicting the heating value of MSW with a feed forward neural network." Waste Management 23(2): 103-106.
Dong, C., B. Jin, et al. (2003). "Predicting the heating value of MSW with a feed forward neural network." Waste Management (New York, N.Y.) 23(2): 103-106.
Doniger, S., T. Hofmann, et al. (2002). "Predicting CNS permeability of drug molecules: comparison of neural network and support vector machine algorithms." Journal Of Computational Biology: a Journal Of Computational Molecular Cell Biology 9(6): 849-864.
Donne, J. D. "Neural Networks for System Modeling and Control: A User's Perspective (Backpropagation, Flexible Robots)." DAI, , 52, no. 11B, (1991): 5991.
Dorffner, G. (1996). "Neural Networks for Time Series Processing." Neural Network World 6(4): 447-468.
Dorsey, R. E., R. O. Edmister, et al. (1995). Bankruptcy prediction using artificial neural systems. Charlottesville, Va., Research Foundation of The Institute of Chartered Financial Analysts.
Dorsey, S. G., C. F. Waltz, et al. (1997). "A neural network model for predicting pancreas transplant graft outcome." Diabetes Care 20(7): 1128-1133.
Doucet, J. P., A. Panaye, et al. (1993). "Neural Networks and C-13 Nmr Shift Prediction." Journal of Chemical Information and Computer Sciences 33(3): 320-324.
Doucet, J. P. and A. Panaye (1998). "3D structural information: From property prediction to substructure recognition with neural networks." Sar and Qsar in Environmental Research 8(3-4): 249-272.
Dougherty, M. S., H. R. Kirby, et al. (1993). The use of neural networks to recognise and predict traffic congestion.
Dougherty, M. S., H. R. Kirby, et al. (1994). Using neural networks to recognise, predict and model traffic.
Dougherty, M., M. Cobbett, et al. (1994). Short term inter-urban traffic forecasts using neural networks.
Dougherty, M. S. and L. A. Schintler (1997). "Forecasting carbon monoxide concentrations near a sheltered intersection using video surveillance and neural networks: Comment." Transportation Research Part D-Transport and Environment 2(3): 221-222.
Dougherty, M. S. and L. A. Schintler (1997). "Forecasting carbon monoxide concentrations near a sheltered intersection using video surveillance and neural networks: A comment." Transportation Research Part D: Transport and Environment 2(3): 221-222.
Dougherty, M. S. and M. R. Cobbett (1997). "Short-term inter-urban traffic forecasts using neural networks." International Journal of Forecasting 13(1): 21-31.
Douglass, B. P. "Statistical Analysis of Simulated Multinerve Networks: Use of Factor Analytical Methods (Time Series, Neuron)." DAI, , 46, no. 04B, (1984): 1071.
Doulamis, A. D., N. D. Doulamis, et al. (2003). "An adaptable neural-network model for recursive nonlinear traffic prediction, and modeling of MPEG video sources." Ieee Transactions on Neural Networks 14(1): 150-166.
Dowman, A. A. and A. A. Woolf (1995). "Prediction of the Ability of Hydrofluorocarbons to Dissolve Hydrocarbons by Means of Neural Networks." Journal of Fluorine Chemistry 74(2): 207-210.
Draeger, A., S. Engell, et al. (1995). "Model-Predictive Control Using Neural Networks." Ieee Control Systems Magazine 15(5): 61-66.
Draghici, S. and R. B. Potter (2003). "Predicting HIV drug resistance with neural networks." Bioinformatics (Oxford, England) 19(1): 98-107.
Draye, J. P., D. Pavisic, et al. (1995). "Adaptative Time Constants Improve the Prediction Capability of Recurrent Neural Networks." Neural Processing Letters 2(3): 12-16.
Drew, P. J., P. Magee, et al. (1998). "Neural networks improve the prediction of survival in breast cancer." European Journal of Cancer 34(5): S100.
Drezet, P. M. L. and R. F. Harrison (2000). "A new method for sparsity control in support vector classification and regression." Pattern Recognition 34(1): 111-125.
Drezga, I. "A Generalized Ann-Based Model for Short-Term Load Forecasting (Neural Network)." DAI, , 58, no. 02B, (1996): 0865.
Drossu, R. "Efficient Design of Neural Networks for Time Series Prediction (Target Function)." DAI, , 59, no. 06B, (1997): 2845.
Drossu, R. and Z. Obradovic (1996). "Rapid design of neural networks for time series prediction." Ieee Computational Science & Engineering 3(2): 78-89.
Drossu, R. (1997). Efficient design of neural networks for time series prediction: xvii, 240 leaves, bound.
Drossu, R. (1997). "Efficient Design of Neural Networks for Time Series Prediction (Target Function)." DAI 59(06B): 240.
Droste, K., E. Bollschweiler, et al. (1996). "Prediction of lymph node metastasis in gastric cancer patients with neural networks." Cancer Letters 109(1-2): 141-148.
Droulez, J. and A. Berthoz (1991). "A Neural Network Model of Sensoritopic Maps with Predictive Short-Term-Memory Properties." Proceedings of the National Academy of Sciences of the United States of America 88(21): 9653-9657.
Drozdz, J., I. Zbicinski, et al. (2001). "Prediction of in-hospital mortality in patients with acute myocardial infarction by artificial neural network. POL-WEB-AMI (POLish multicentre WEB-based trial on acute myocardial infarction)." European Heart Journal 22: 266-266.
Drozdz, J., I. Zbicinski, et al. (2001). "Artificial neural network predicts mortality in patients with acute myocardial infarction. Polish multicenter web-based trial on acute myocardial infarction: POL-WEB-AMI." Journal of the American College of Cardiology 37(2): 494A-494A.
Drummond, S. T., K. A. Sudduth, et al. (2003). "Statistical and neural methods for site-specific yield prediction." Transactions of the Asae 46(1): 5-14.
Duarte, M., A. Suarez, et al. (2001). "Control of grinding plants using predictive multivariable neural control." Powder technology 115(2): 14.
Duh, M. S., A. M. Walker, et al. (1998). "Prediction and cross-validation of neural networks versus logistic regression: using hepatic disorders as an example." American Journal Of Epidemiology 147(4): 407-413.
Duhoux, M., J. Suykens, et al. (2001). "Improved long-term temperature prediction by chaining of neural networks." International Journal Of Neural Systems 11(1): 1-10.
Duliba, K. A. (1991). "Contrasting Neural Nets with Regression in Predicting Performance in the Transportation Industry." Proceedings of the Twenty-Fourth Hawaii International Conference on System Sciences 4: 163-170.
Duncan, J. C. "A Comparison of Radial Basis Function and Multilayer Perceptron Neural Networks with Linear Multiple Regression in Cohort-Survival Based Enrollment Projection (University Enrollment)." DAI, , 57, no. 12A, (1996): 4995.
Duncan, J. C. (1996). A comparison of radial basis function and multilayer perceptron neural networks with linear multiple regression in cohort-survival based enrollment projection.
Duncan, J. C. (1996). A comparison of radial basis function and multilayer perceptron neural networks with linear multiple regression in cohort-survival based enrollment projection: x, 280 leaves, bound.
Dundar, G. "Analog Cmos Vlsi Design of Neural Networks." DAI, , 55, no. 03B, (1993): 1080.
Dunis, C. and B. Zhou (1998). Nonlinear modelling of high frequency financial time series. Chichester England ; New York, Wiley.
Dunis, C. L. and J. Jalilov (2002). "Neural Network Regression and Alternative Forecasting Techniques for Predicting Financial Variables." Neural Networld World 12(2): 113-139.
Dunis, C. L. and X. H. Huang (2002). "Forecasting and trading currency volatility: An application of recurrent neural regression and model combination." Journal of Forecasting 21(5): 317-354.
Dunston, P. S. "Control Structures for the Automated Bending of Steel Reinforcing Bars (Rebar Fabrication, Neural Network Control)." DAI, , 56, no. 04B, (1995): 2188.
Duong, T. A. "Cascade Error Projection: An Efficient Hardware Learning Algorithm (Back Propagation, Neural Networks, Learning, Artificial Intelligence)." DAI, , 56, no. 12B, (1995): 6944.
Duprat, A. F., T. Huynh, et al. "Toward a principled methodology for neural network design and performance evaluation in QSAR. Application to the prediction of logP." Journal Of Chemical Information And Computer Sciences 38(4): 586-594.
Duprat, A. F., T. Huynh, et al. (1998). "Toward a principled methodology for neural network design and performance evaluation in QSAR. Application to the prediction of LogP." Journal of Chemical Information and Computer Sciences 38(4): 586-594.
Durstewitz, D., M. Kelc, et al. (1999). "A neurocomputational theory of the dopaminergic modulation of working memory functions." Journal of Neuroscience 19(7): 2807-2822.
Durstewitz, D. (2003). "BEHAVIORAL/SYSTEMS/COGNITIVE - Self-Organizing Neural Integrator Predicts Interval Times through Climbing Activity." The journal of neuroscience : the official journal of the Society for Neuroscience 23(12): 12.
Dutta, P. "Application of Neural Network Control to Distillation (Process Control)." DAI, , 58, no. 01B, (1997): 0299.
Dutta, R., E. L. Hines, et al. (2003). "Tea quality prediction using a tin oxide-based electronic nose: an artificial intelligence approach." Sensors and Actuators B: Chemical 94(2): 228-237.
Dvorchik, I., M. Subotin, et al. (1996). "Performance of multi-layer feedforward neural networks to predict liver transplantation outcome." Methods Of Information In Medicine 35(1): 12-18.
Dwyer, M. M. D. "A Comparison of Statistical Techniques and Artificial Neural Network Models in Corporate Bankruptcy Prediction (Bankruptcy)." DAI, , 53, no. 10A, (1992): 3585.
Dwyer, M. D. (1992). A comparison of statistical techniques and artificial neural network models in corporate bankruptcy prediction: vi, 202 leaves.
Dybowski, R., P. Weller, et al. (1996). "Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm." Lancet 347(9009): 1146-1150.
Dybowski, R. and S. J. Roberts (2000). Confidence Intervals and Prediction Intervals for Feed-Forward Neural Networks. Clinical Applications of Artificial Neural Networks. R. Dybowski and V. Gant, Cambridge University Press.
Dzwinel, W., Y. N. Pepyolyshev, et al. (2003). "Predicting of slow noise and vibration spectra degradation in the IBR-2 pulsed neutron source using a neural network simulator." Progress in Nuclear Energy 43(1-4): 145-150.
Ealey, D. "Natural language acquisition in large scale neural semantic networks." DAI 61(04C): 1104.
Eastaugh, J. L., S. W. Smye, et al. (1997). "Comparison of neural networks and statistical models to predict gestational age at birth." Neural Computing & Applications 6(3): 158-164.
Eastaugh, J. L. (2001). Comparison of neural network and statistical techniques with clinical assessment in the prediction of high-risk pregnancies. Leeds,.
Ebecken, N. F. F. (1998). Data mining. Boston, WIT Press/Computational Mechanics Publications.
Ebell, M. H. (1993). "Artificial Neural Networks for Predicting Failure to Survive Following in-Hospital Cardiopulmonary-Resuscitation." Journal of Family Practice 36(3): 297-303.
Edwards, D. F., H. Hollingsworth, et al. (1999). "Artificial neural networks improve the prediction of mortality in supratentorial intracerebral hemorrhage." Neurology 52(6): A99-A99.
Edwards, P. J., A. F. Murray, et al. (1999). "Paper curl prediction and control using neural networks." Tappi Journal 82(7): 145-151.
Edwards, D. F., H. Hollingsworth, et al. (1999). "Artificial neural networks improve the prediction of mortality in intracerebral hemorrhage." Neurology 53(2): 351-357.
Edwards, D. J., G. D. Holt, et al. (2000). "A comparative analysis between the multilayer perceptron "neural network'' and multiple regression analysis for predicting construction plant maintenance costs." Journal of Quality in Maintenance Engineering 6(1): 45-61.
Edwards, P. J., A. M. Peacock, et al. (2002). "Minimizing risk using prediction uncertainty in neural network estimation fusion and its application to papermaking." Ieee Transactions on Neural Networks 13(3): 726-731.
Egan, W. J. "Development and Application of Pattern Recognition and Calibration Methods for Multivariate Analytical Chemical Data (Neural Networks, Chemometrics)." DAI, , 59, no. 07B, (1998): 3399.
Egan, C., G. Steven, et al. "Two-level branch prediction using neural networks." Journal of Systems Architecture In Press, Corrected Proof.
Egolf, L. M. and P. C. Jurs (1993). "Prediction of Boiling Points of Organic Heterocyclic-Compounds Using Regression and Neural-Network Techniques." Journal of Chemical Information and Computer Sciences 33(4): 616-625.
Ehart Bell, S. C. "Ion Mobility Spectrometry of Selected Organic Compound Classes (Neural Networks, Volatile Organics Sensor)." DAI, , 52, no. 06B, (1991): 3028.
Ehrlich, L., M. Reczko, et al. (1998). "Prediction of protein hydration sites from sequence by modular neural networks." Protein Engineering 11(1): 11-19.
Ehrman, J. M., T. A. Clair, et al. (1996). "Using neural networks to predict pH changes in acidified eastern Canadian lakes." Ai Applications 10(2): 1-8.
Ein-Dor, L. and I. Kanter (1999). "Confidence in prediction by neural networks." Physical Review. E, Statistical Physics, Plasmas, Fluids, And Related Interdisciplinary Topics 60(1): 799-802.
Eisenstein, E., I. Kanter, et al. (1995). "Generation and Prediction of Time-Series by a Neural-Network." Physical Review Letters 74(1): 6-9.
Ejrnaes, R., E. Aude, et al. (2002). "Prediction of habitat quality using ordination and neural networks." Ecological Applications 12(4): 1180-1187.
Eksioglu, M., J. E. Fernandez, et al. (1996). "Predicting peak pinch strength: Artificial neural networks vs. regression." International Journal of Industrial Ergonomics 18(5-6): 431-441.
El Dajani, R., M. Miquel, et al. (2001). "A neural network approach for predicting and modelling the dynamical behaviour of cardiac ventricular repolarisation." Medinfo 10(1): 444-448.
El Kadi, H. and Y. Al-Assaf (2002). "Energy-based fatigue life prediction of fiberglass/epoxy composites using modular neural networks." Composite Structures 57(1-4): 85-89.
El Kadi, H. and Y. Al-Assaf (2002). "Prediction of the fatigue life of unidirectional glass fiber/epoxy composite laminae using different neural network paradigms." Composite Structures 55(2): 239-246.
El Shazly, M. R. and H. E. El Shazly (1997). "Comparing the forecasting performance of neural networks and forward exchange rates." Journal of Multinational Financial Management 7(4): 345-356.
El Shazly, M. R. and H. E. El Shazly (1999). "Forecasting currency prices using a genetically evolved neural network architecture." International Review of Financial Analysis 8(1): 67-82.
El Shoura, S., M. El Sherif, et al. (1998). Neural networks in forecasting models: Nile River application. Circuits and Systems, 1998. Proceedings. 1998 Midwest Symposium on.
El Zooghby, A. H. "Neural Network Based Smart Antennas for Cellular and Mobile Communications Systems (Wireless, Tracking)." DAI, , 60, no. 03B, (1999): 1215.
El-Deredy, W., S. M. Ashmore, et al. (1997). "Pretreatment prediction of the chemotherapeutic response of human glioma cell cultures using nuclear magnetic resonance spectroscopy and artificial neural networks." Cancer Research 57(19): 4196-4199.
El-Din, A. G. and D. W. Smith (2002). "A neural network model to predict the wastewater inflow incorporating rainfall events." Water Research 36(5): 1115-1126.
El-Kassas, E. M. A., R. I. Mackie, et al. (2002). "Using neural networks to predict the design load of cold-formed steel compression members." Advances in Engineering Software 33(7-10): 713-719.
El-Rabbany, A., G. Auda, et al. (2002). "Predicting sea ice conditions using neural networks." Journal of Navigation 55(1): 137-143.
El-Solh, A., J. Mylotte, et al. (1999). "Prediction of active pulmonary tuberculosis using artificial neural network." American Journal of Respiratory and Critical Care Medicine 159(3): A16-A16.
El-Solh, A. A., C. B. Hsiao, et al. (1999). "Predicting active pulmonary tuberculosis using an artificial neural network." Chest 116(4): 968-973.
El-Solh, A. A., C. B. Hsiao, et al. (1999). "Predicting active pulmonary tuberculosis using an artificial neural network." Chest 116(4): 968-973.
El-Solh, A., S. Saltzman, et al. (2000). "The validity of artificial neural network in predicting discharge destination from a post-acute geriatric rehabilitation unit." Journal of the American Geriatrics Society 48(8): S126-S126.
El-Solh, A. A., S. K. Saltzman, et al. (2000). "Validity of an artificial neural network in predicting discharge destination from a postacute geriatric rehabilitation unit." Archives Of Physical Medicine And Rehabilitation 81(10): 1388-1393.
El-Temtamy, O. S. "Bankruptcy Prediction: A Comparative Study on Logit and Neural Networks." DAI, , 56, no. 09A, (1995): 3682.
Elanayar Veetil Thalakkurissy, S. "Robust Tool Wear Monitoring Using Radial Basis Function Neural Networks (Nonlinear Systems)." DAI, , 55, no. 03B, (1993): 1139.
Eldar, S., H. T. Siegelmann, et al. (2002). "Conversion of laparoscopic cholecystectomy to open cholecystectomy in acute cholecystitis: artificial neural networks improve the prediction of conversion." World Journal Of Surgery 26(1): 79-85.
Eldefrawy, M. H. "Temporal Considerations and Coherence in Neural Networks (Circle Maps)." DAI, , 56, no. 03B, (1994): 1604.
Eldridge, R. B. (2000). "Response to Comments from Larachi and Grandjean on "Neural network modeling of structured packing height equivalent to a theoretical plate" and "HETP and pressure drop prediction for structured packing distillation columns using a neural network"." Industrial & Engineering Chemistry Research 39(11): 4438-4438.
Elgaddel, N., F. C. Lin, et al. (2001). Forecasting the population of the corn earworm Helicoverpa zea. Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on.
Eliot, L. B. (1988). "Predicting the near-Term Future of Neural Networks." Ieee Expert-Intelligent Systems & Their Applications 3(1): 82-83.
Elizondo, D. A. (1992). Neural network models to predict solar radiation and plant phenology: ix, 88 leaves.
Elizondo, D., G. Hoogenboom, et al. (1994). "Development of a Neural-Network Model to Predict Daily Solar-Radiation." Agricultural and Forest Meteorology 71(1-2): 115-132.
Elizondo, D. A., R. W. McClendon, et al. (1994). "Neural-Network Models for Predicting Flowering and Physiological Maturity of Soybean." Transactions of the Asae 37(3): 981-988.
Elkamel, A., M. Karkoub, et al. (1996). "A neural network prediction model of fluid displacements in porous media." Computers & Chemical Engineering 20(1): S515-S520.
Elkamel, A. (1998). "An artificial neural network for predicting and optimizing immiscible flood performance in heterogeneous reservoirs." Computers & Chemical Engineering 22(11): 1699-1709.
Elkamel, A., S. Abdul-Wahab, et al. (2001). "Measurement and prediction of ozone levels around a heavily industrialized area: a neural network approach." Advances in Environmental Research 5(1): 47-59.
Elkateb, M. M., K. Solaiman, et al. (1998). "A comparative study of medium-weather-dependent load forecasting using enhanced artificial/fuzzy neural network and statistical techniques." Neurocomputing 23(1-3): 3-13.
Ellenius, J. M. "Artificial neural networks for assessment of patients with suspected acute myocardial infarction." DAI 61(04C): 1011.
Elragal, H. M. (2001). Forecasting with combination of artificial neural networks: xv, 120 leaves.
Elrod, D. W. "Computational Neural Networks in Chemistry: Model Free Mapping Devices for Predicting Chemical Reactivity from Molecular Structure." DAI, , 53, no. 12B, (1992): 6303.
Elrod, D. W., G. M. Maggiora, et al. (1989). "Application of Neural Networks in Chemical-Reaction Prediction." Abstracts of Papers of the American Chemical Society 197: 27-COMP.
Elrod, D. W., G. M. Maggiora, et al. (1990). "Applications of Neural Networks in Chemistry .1. Prediction of Electrophilic Aromatic-Substitution Reactions." Journal of Chemical Information and Computer Sciences 30(4): 477-484.
Elrod, D. W., G. M. Maggiora, et al. (1991). "Predicting Chemical-Reactions with a Neural Network." Lecture Notes in Computer Science 507: 392-398.
Elrod, D. W. (1992). Computational neural networks in chemistry : model free mapping devices for predicting chemical reactivity from molecular structure: xii, 170 leaves.
Elsner, J. B. (1992). "Predicting Time-Series Using a Neural Network as a Method of Distinguishing Chaos from Noise." Journal of Physics a-Mathematical and General 25(4): 843-850.
Emanuelsson, O., H. Nielsen, et al. (1999). "ChloroP, a neural network-based method for predicting chloroplast transit peptides and their cleavage sites." Protein Science: a Publication Of The Protein Society 8(5): 978-984.
Embrechts, M. J. and C. Breneman (1998). "Data mining with neural networks for the prediction and understanding of molecular properties." Abstracts of Papers of the American Chemical Society 215: U511-U512.
Eng, J. (2000). "Predicting acute pulmonary embolism: A comparative analysis of neural network, Bayesian, and logistic regression models." Radiology 217: 116-116.
Eng, J. (2002). "Predicting the presence of acute pulmonary embolism: a comparative analysis of the artificial neural network, logistic regression, and threshold models." AJR. American Journal Of Roentgenology 179(4): 869-874.
Engelhard, G. H., U. Dieckmann, et al. (2003). "Age at maturation predicted from routine scale measurements in Norwegian spring-spawning herring (Clupea harengus) using discriminant and neural network analyses." ICES Journal of Marine Science 60(2): 304-313.
Engin, T. and A. Kurt (2003). "Prediction of centrifugal slurry pump head reduction: An artificial neural networks approach." Journal of Fluids Engineering-Transactions of the Asme 125(1): 199-202.
Engkvist, O., P. Wrede, et al. "Prediction of CNS activity of compound libraries using substructure analysis." Journal Of Chemical Information And Computer Sciences 43(1): 155-160.
Engkvist, O. and P. Wrede "High-throughput, in silico prediction of aqueous solubility based on one- and two-dimensional descriptors." Journal Of Chemical Information And Computer Sciences 42(5): 1247-1249.
English, N. J. and D. G. Carroll "Prediction of Henry's law constants by a quantitative structure property relationship and neural networks." Journal Of Chemical Information And Computer Sciences 41(5): 1150-1161.
English, E. C. and F. R. Fricke (1999). "The interference index and its prediction using a neural network analysis of wind-tunnel data." Journal of Wind Engineering and Industrial Aerodynamics 83(1-3): 567-575.
English, N. J. and D. G. Carroll (2001). "Prediction of Henry's law constants by a quantitative structure property relationship and neural networks." Journal of Chemical Information and Computer Sciences 41(5): 1150-1161.
Ennett, C. M. (1999). "Coronary surgery mortality prediction using artificial neural networks." MAI 38(05): 1322.
Ennett, C. M. (2001). Coronary surgery mortality prediction using artificial neural networks. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Ennett, C. M. and M. Frize (2003). "Weight-elimination neural networks applied to coronary surgery mortality prediction." IEEE Transactions On Information Technology In Biomedicine: a Publication Of The IEEE Engineering In Medicine And Biology Society 7(2): 86-92.
Episcopos, A. and J. Davis (1996). "Predicting returns on Canadian exchange rates with artificial neural networks and EGARCH-M models." Neural Computing & Applications 4(3): 168-174.
Er, M. J., J. Liao, et al. (2000). "Fuzzy neural networks-based quality prediction system for sintering process." Ieee Transactions on Fuzzy Systems 8(3): 314-324.
Eros, D., I. Kovesdi, et al. (2002). "Reliability of logP predictions based on calculated molecular descriptors: a critical review." Current Medicinal Chemistry 9(20): 1819-1829.
Ersoy, O. K. and S. W. Deng (1991). Parallel, self-organizing, hierarchical neural networks with contin[u]ous inputs and outputs. West Lafayette, Ind., Purdue University School of Electrical Engineering.
Espinosa, G., D. Yaffe, et al. (2000). "Neural network based quantitative structural property relations (QSPRs) for predicting boiling points of aliphatic hydrocarbons." Journal of Chemical Information and Computer Sciences 40(3): 859-879.
Esquivel Garma, R. A. (1997). Selección de módulos de software para reuso a través de redes neuronales.
Estahbanati, H. K. and N. Bouduhi (2002). "Role of artificial neural networks in prediction of survival of burn patients--a new approach." Burns 28(6): 579-586.
Estahbanati, H. K. and N. Bouduhi (2002). "Role of artificial neural networks in prediction of survival of burn patients-a new approach." Burns: Journal Of The International Society For Burn Injuries 28(6): 579-586.
Etheridge, H. L. "An Examination of Semiotic Theories of Accounting Accruals (Neural Networks)." DAI, , 53, no. 02A, (1991): 0547.
Euliano, N. R., II "Temporal Self-Organization for Neural Networks (Vector Quantization, Temporal Patterns)." DAI, , 59, no. 09B, (1998): 4994.
Ezugwu, E. O., S. J. Arthur, et al. (1995). "Tool-Wear Prediction Using Artificial Neural Networks." Journal of Materials Processing Technology 49(3-4): 255-264.
Ezziane, Z. H. "Neural Network System for Operations Management (Warehouse, Inventory Control)." DAI, , 55, no. 05B, (1994): 1914.
Fa-Long, L., L. Yan-Da, et al. (1996). "Neural network approach to the TLS linear prediction frequency estimation problem." Neurocomputing 11(1): 31-42.
Falco, I. D., A. Iazzetta, et al. (2000). "The Seismicity in the Southern Tyrrhenian Area and its Neural Forecasting." Pure and applied geophysics 157(3): 14.
Falk, C. T., J. M. Gilchrist, et al. (1998). "Using neural networks as an aid in the determination of disease status: comparison of clinical diagnosis to neural-network predictions in a pedigree with autosomal dominant limb-girdle muscular dystrophy." American Journal Of Human Genetics 62(4): 941-949.
Faller, W. E. "Neural Network Experiments: Biological and Artificial (Spike Train, Ganglionic Distribution)." DAI, , 53, no. 10B, (1992): 5089.
Faller, W. E., S. J. Schreck, et al. (1995). "Neural network prediction and control of three-dimensional unsteady separated flowfields." Journal of Aircraft 32(6): 1213-1220.
Fan, H.-T. "Next Generation Quality Control: A Model-Based Approach with Applications to Automotive Painting Process (Neural Network, Time Series, Quality Control)." DAI, , 53, no. 05B, (1992): 2500.
Fan, Z. and P. Mars (1997). "Access flow control scheme for ATM networks using neural-network-based traffic prediction." Iee Proceedings-Communications 144(5): 295-300.
Fan, J. and L. Hunter (1998). "A worsted fabric expert system part II: An artificial neural network model for predicting the properties of worsted fabrics." Textile Research Journal 68(10): 763-771.
Fan, J., E. Newton, et al. (2001). "Predicting garment drape with a fuzzy-neural network." Textile Research Journal 71(7): 605-608.
Fang, B. S. (1993). "The Application of Artificial Neural Network to the Process Prediction of Penicillin Fermentation in Fed-Batch." Abstracts of Papers of the American Chemical Society 205: 71-BIOT.
Faraggi, D. and R. Simon (1995). "Maximum-Likelihood Neural-Network Prediction Models." Biometrical Journal 37(6): 713-725.
Faraggi, D. and R. Simon (1995). "Maximum Likelihood Neural Network Prediction Models." Biometrical journal. Biometrische Zeitschrift 37(6): 13.
Faraway, J. and C. Chatfield (1995). Time series forecasting with neural networks: A case study. Research report 95-06 of the statistics group. University of Bath: 1-21.
Faraway, J. and C. Chatfietd (1998). "Time series forecasting with neural networks: A comparative study using the airline data." Applied statistics 47(2): 20.
Faraway, J. and C. Chatfield (1998). "Time series forecasting with neural networks: A comparative study using the airline data." Journal of the Royal Statistical Society Series C-Applied Statistics 47: 231-250.
Farinwata, S. S., D. P. Filev, et al. (2000). Fuzzy control : synthesis and analysis. Chichester, England ; New York, Wiley.
Fariselli, P., M. Compiani, et al. (1993). "Predicting Secondary Structures of Membrane-Proteins with Neural Networks." European Biophysics Journal with Biophysics Letters 22(1): 41-51.
Fariselli, P. and R. Casadio (1996). "Predicting transmembrane helical domains and topology in proteins with neural networks." Biophysical Journal 70(2): MP167-MP167.
Fariselli, P. and R. Casadio (1996). "HTP: a neural network-based method for predicting the topology of helical transmembrane domains in proteins." Computer Applications In The Biosciences: CABIOS 12(1): 41-48.
Fariselli, P. and R. Casadio (1999). "A neural network based predictor of residue contacts in proteins." Protein Engineering 12(1): 15-21.
Fariselli, P., O. Olmea, et al. (2001). "Prediction of contact maps with neural networks and correlated mutations." Protein Engineering 14(11): 835-843.
Fariselli, P., O. Olmea, et al. (2001). "Progress in predicting inter-residue contacts of proteins with neural networks and correlated mutations." Proteins(5): 157-162.
Fariselli, P., F. Pazos, et al. (2002). "Prediction of protein-protein interaction sites in heterocomplexes with neural networks." European Journal of Biochemistry 269(5): 1356-1361.
Fariselli, P., F. Pazos, et al. (2002). "Prediction of protein--protein interaction sites in heterocomplexes with neural networks." European Journal Of Biochemistry / FEBS 269(5): 1356-1361.
Farley, J. F. and P. D. Varhol (1993). "Neural Nets for Predicting Behavior." Dr Dobbs Journal 18(2): 82-&.
Farooqi, S. M. (1994). Prediction of part properties in injection molded plastic parts using artificial neural networks: xiv, 130 leaves, bound.
Farrar, D. S. (1999). "Neural Network Models of the Brain Mechanisms of Bilateral Coordination (Robotics)." DAI 60(04B): 1454.
Farshad, F. F., J. D. Garber, et al. (2000). "Predicting temperature profiles in producing oil wells using artificial neural networks." Engineering Computations 17(6-7): 735-754.
Fasulo, J. V. (2001). "Estimation of Internet transit times using a fast-computing artificial neural network (FC-ANN)." MAI 40(03): 753.
Fatemi, M. H., M. Jalali-Heravi, et al. (2003). "Prediction of bioconcentration factor using genetic algorithm and artificial neural network." Analytica Chimica Acta 486(1): 101-108.
Faundez-Zanuy, M. (2001). "Nonlinear Vectorial Prediction with Neural Nets." Lecture notes in computer science(2085): 754-761.
Fayad, H. (2001). "Application of neural networks and genetic algorithms for solving conjunctive water use problems." DAI 62(05B): 2394.
Faybisovich, V. (1996). "Neural-networks for predicting the operation of an under-frequency load shedding system - Discussion." Ieee Transactions on Power Systems 11(3): 1357-1357.
Fayos, J. and F. H. Cano (2002). "Crystal-packing prediction by neural networks." Crystal Growth & Design 2(6): 591-599.
Fei, X., X. Y. He, et al. (2000). "Fuzzy neural network based traffic prediction and congestion control in high-speed networks." Journal of Computer Science and Technology 15(2): 144-149.
Feng, S. "Testing and Reliability of Complex Digital Systems (Design Fault, Register Sandwiches, Neural Networks)." DAI, , 54, no. 06B, (1993): 3252.
Feng, X. (1992). Thermal compensation estimation and prediction using an artificial neural network and linear regression: vii, 87 leaves.
Feng, G. (1994). "Stable Adaptive Predictor for Nonlinear-Systems Using Neural Networks." Computers & Electrical Engineering 20(5): 383-390.
Feng, X. T., Y. J. Wang, et al. (1996). "A neural network model for real-time roof pressure prediction in coal mines." International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 33(6): 647-653.
Feng, X., Y. Wang, et al. (1996). "An adaptive neural network for real-time prediction of rock behaviour in coal mines (in Chinese)." International Journal of Rock Mechanics and Mining Science & Geomechanics Abstracts 33(5): 218A.
Feng, Q. M., T. Li, et al. (2000). "Adaptive prediction system of sintering through point based on self-organize artificial neural network." Transactions of Nonferrous Metals Society of China 10(6): 804-807.
Feng, Z.-P. and C.-T. Zhang (2002). "A graphic representation of protein sequence and predicting the subcellular locations of prokaryotic proteins." The International Journal Of Biochemistry & Cell Biology 34(3): 298-307.
Feng, C. X. and X. F. Wang (2003). "Surface roughness predictive modeling: neural networks versus regression." Iie Transactions 35(1): 11-27.
Ferentinos, K. P. and L. D. Albright (2002). "Predictive neural network modeling of pH and electrical conductivity in deep-trough hydroponics." Transactions of the Asae 45(6): 2007-2015.
Fernandez, E. and I. Olmeda (1995). Bankruptcy prediction with Artificial Neural Networks. From Natural to Artificial Neural Computation. Berlin 33, SPRINGER-VERLAG BERLIN. 930: 1142-1146.
Fernandez, M. C. O., A. H. Gutierrez, et al. (1995). "The Uneq, Pls and Mlf Neural-Network Methods in the Modeling and Prediction of the Color of Young Red Wines from the Denomination-of-Origin Rioja." Chemometrics and Intelligent Laboratory Systems 28(2): 273-285.
Fernandez, E. A., R. Valtuille, et al. (2003). "Dialysate-side urea kinetics. Neural network predicts dialysis dose during dialysis." Medical & Biological Engineering & Computing 41(4): 392-396.
Fernandez de Castro, B. M., J. M. Prada Sanchez, et al. (2003). "Prediction of SO2 levels using neural networks." Journal Of The Air & Waste Management Association (1995) 53(5): 532-539.
Fernando, T. M. K. G. and University of Hong Kong. (2002). Hydrological applications of MLP neural networks with back-propagation. Hong Kong, University of Hong Kong: x, 161 leaves.
Ferreira, P. M., E. A. Faria, et al. (2002). "Neural network models in greenhouse air temperature prediction." Neurocomputing 43(1-4): 51-75.
Fessant, F., S. Bengio, et al. (1996). "On the prediction of solar activity using different neural network models." Annales Geophysicae-Atmospheres Hydrospheres and Space Sciences 14(1): 20-26.
Fessant, F., C. Pierret, et al. (1996). "Comparison of neural network and McNish and Lincoln methods for the prediction of the smoothed sunspot index." Solar Physics 168(2): 423-433.
Feuring, T. and W.-M. Lippe (1998). "Error Prediction for Neural Networks by Fuzzification." International journal of intelligent systems 13(6): 8.
Feuring, T. and W. M. Lippe (1998). "Error prediction for neural networks by fuzzification." International Journal of Intelligent Systems 13(6): 495-502.
Fichera, A. and A. Pagano (2002). "Neural network-based prediction of the oscillating behaviour of a closed loop thermosyphon." International Journal of Heat and Mass Transfer 45(18): 3875-3884.
Finkel, L. H. "Selection Mechanisms in Neural Networks (Synapse, Memory, Model)." DAI, , 46, no. 05B, (1985): 1426.
Fischer, T. H., W. P. Petersen, et al. (1995). "A New Optimization Technique for Artificial Neural Networks Applied to Prediction of Force-Constants of Large Molecules." Journal of Computational Chemistry 16(8): 923-936.
Fischer, H. and J. Hennig (1999). "Neural network-based analysis of MR time series." Magnetic Resonance In Medicine: Official Journal Of The Society Of Magnetic Resonance In Medicine / Society Of Magnetic Resonance In Medicine 41(1): 124-131.
Fish, K. E. (1995). "A comparative study of artificial neural networks and multinomial logit for the estimation of discrete choice." DAI 57(01A): 335.
Fisher, M. E. and E. V. Hill (1998). "Neural network burst pressure prediction in fiberglass epoxy pressure vessels using acoustic emission." Materials Evaluation 56(12): 1395-1401.
FitzGerald, E. M., C. J. Bean, et al. (1999). "Fracture-frequency prediction from borehole wireline logs using artificial neural networks." Geophysical Prospecting 47(6): 1031-1044.
Flaherty, C. W. (2001). An artificial neural network model for the prediction of child physical abuse recurrences: viii, 165 leaves.
Flaherty, C. W. (2001). "An artificial neural network model for the prediction of child physical abuse recurrences." DAI 62(08A): 2882.
Flanagan, J. R., D. Pittet, et al. "Predicting survival of patients with sepsis by use of regression and neural network models." Clinical Performance And Quality Health Care 4(2): 96-103.
Flanagan, J. R., D. Pittet, et al. (1993). "Survival from Severe Sepsis Is Accurately Predicted by a Neural-Net." Clinical Research 41(3): A653-A653.
Fleming, N. S. and University of Adelaide. Dept. of Civil and Environmental Engineering. (1994). Forecasting water consumption in the Northern Adelaide Plains, SA, using artificial neural networks, regression and time series methods. Adelaide, Dept. of Civil and Environmental Engineering University of Adelaide.
Fletcher, D. and E. Goss (1993). "Forecasting with Neural Networks - an Application Using Bankruptcy Data." Information & Management 24(3): 159-167.
Fletcher, D. and E. Goss (1993). "Forecasting with neural networks: An application using bankruptcy data." Information & management 24(3): 159-168.
Fletcher, P., P. V. Coveney, et al. (1995). "Predicting Quality and Performance of Oil-Field Cements with Artificial Neural Networks and Ftir Spectroscopy." Journal of Petroleum Technology 47(2): 129-130.
Flood, I., N. Gagarin, et al. (1998). "Modelling earthquake accelerograms using neural networks and linear predictors." Ai Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing 12(3): 243-258.
Florio, L., L. Mussone, et al. (1995). Neural network models for classification and forecasting of freeway traffic flow stability.
Florio, L. and L. Mussone (1996). "Neural-network models for classification and forecasting of freeway traffic flow stability." Control Engineering Practice 4(2): 153-164.
Flotzinger, D. (1991). Neural network-based classification of spatiotemporal EEG-data. Graz, Austria, Institutes for Information Processing Graz.
Flynn, M. M. "A Method of Assessing near-View Scenic Beauty Models: A Comparison of Neural Networks and Multiple Linear Regression." MAI, , 36, no. 02, (1997): 0295.
Fonseca, A. P., J. V. Oliveira, et al. (2000). "Neural networks for predicting mass transfer parameters in supercritical extraction." Brazilian Journal of Chemical Engineering 17(4-7): 517-524.
Foody, G. M., D. S. Boyd, et al. (2003). "Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions." Remote Sensing of Environment 85(4): 463-474.
Forde, G. M. (1997). Application of artificial neural networks in the prediction of maximum absorbed dose during a major solar particle event: vii, 79 leaves.
Fortin, V., T. Ouarda, et al. (1997). "The use of artificial neural networks for the prediction of water quality parameters - Comment." Water Resources Research 33(10): 2423-2424.
Foster, W. R., F. Collopy, et al. (1992). "Neural Network Forecasting of Short, Noisy Time-Series." Computers & Chemical Engineering 16(4): 293-297.
Foster, W. R., F. Collopy, et al. (1992). "Neural network forecasting of short, noisy time series." Computers & chemical engineering 16(4): 293-298.
Fowler, D. "A Neural Network as an Instrument of Prediction (Sparse Distributed Memory)." DAI, , 52, no. 06B, (1991): 3137.
Fowler, D. (1991). A neural network as an instrument of prediction: 79 leaves.
Fowler, M. M. (1997). Using artificial neural networks to predict the performance of a liquid sodium reflux pool boiler solar receiver: xv, 79 leaves.
Fox, J. W. (1999). "Identification of Genes Required for Neuronal Migration in the Developing Mammalian Cerebral Cortex (Cortical Dysgenesis)." DAI 60(07B): 3086.
Fraile, R. and N. Cardona (1997). "Fast neural network method for propagation loss prediction in urban environments." Electronics Letters 33(24): 2056-2058.
Frank, R. J., N. Davey, et al. (2001). "Time series prediction and neural networks." Journal of intelligent and robotic systems 31: 91-103.
Franses, P. H. and K. van Griensven (1998). "Forecasting exchange rates using neural networks for technical trading rules." Studies in Nonlinear Dynamics and Econometrics 2(4): 109-114.
Freeman, J. A. and D. M. Skapura (1991). Neural networks : algorithms, applications, and programming techniques. Reading, Mass., Addison-Wesley.
Freeman, R. V., D. W. M. Muller, et al. (1997). "Use of artificial neural networks to predict mortality after PTCA." Journal of the American College of Cardiology 29(2): 3243-3243.
Freeman, R. V., K. A. Eagle, et al. (1998). "Neural networks vs logistic regression to predict in-hospital mortality after PTCA." Circulation 98(17): 135-135.
Freeman, R. V., K. A. Eagle, et al. (2000). "Comparison of artificial neural networks with logistic regression in prediction of in-hospital death after percutaneous transluminal coronary angioplasty." American Heart Journal 140(3): 511-520.
Freeman, J. W. (2001). Energetic Electrons at Geostationary Orbit During the November 3-4, 1993 Storm : Spartial Temporal Morphology, Characterization by a Power Law Spectrum and, Representation by an Artificial Neural Network. Houston TX,, Rice University.
Freier, Giddings, et al. (2002). "Artificial neural network prediction of antisense oligodeoxynucleotide activity." Nucleic Acids Research 30(19): 4295-4304.
Freitag, F. and E. Monte (1997). Phoneme recognition by means of predictive neural networks. Biological and Artificial Computation: From Neuroscience to Technology. Berlin 33, SPRINGER-VERLAG BERLIN. 1240: 1136-1143.
Freitag, F. and E. Monte (1997). "Phoneme Recognition by Means of Predictive Neural Networks." Lecture notes in computer science(1240): 1136.
Freking, A., W. Kinzel, et al. (2002). "Learning and predicting time series by neural networks." Physical Review. E, Statistical, Nonlinear, And Soft Matter Physics 65(1): 050903.
French, M. N., W. F. Krajewski, et al. (1992). "Rainfall Forecasting in Space and Time Using a Neural Network." Journal of Hydrology 137(1-4): 1-31.
French, R. M. and J. P. Sougnþe (2001). Connectionist models of learning, development and evolution: proceedings of the Sixth Neural Computation and Psychology Workshop, Li`ege, Belgium, 16-18 September 2000. New York, Springer.
Frick, J., C. Precetti, et al. (1998). "Predicting lettuce canopy photosynthesis with statistical and neural network models." Journal Of The American Society For Horticultural Science. American Society For Horticultural Science 123(6): 1076-1080.
Frolov, A. A., D. Husek, et al. (1997). "Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation." Neural Networks 10(5): 845-855.
Fry, J., P. Jennings, et al. (2000). "Vehicle Drive-By Noise Prediction: A Neural Networks Approach." S.A.E. transactions 108(Part 2 Part 2): 2769-2775.
Fu, J. J. C. "Tool Wear Monitoring in Face Milling by Integration of Static and Dynamic Signals Using Neural Networks (Static Signals)." DAI, , 53, no. 09B, (1992): 4879.
Fu, L., L. R. Rilett, et al. (1995). Dynamic O-D travel time estimation using an artificial neural network.
Fu, L. M. and E. H. Shortliffe (2000). "The application of certainty factors to neural computing for rule discovery." Ieee Transactions on Neural Networks 11(3): 647-657.
Fu, X. C., X. W. Ma, et al. (2002). "Prediction of skin permeability using an artificial neural network." Die Pharmazie 57(9): 655-656.
Fu, X.-c. (2003). "Prediction of human skin permeability of drugs in vivo with artificial neural network." Zhejiang Da Xue Xue Bao Yi Xue Ban 32(2): 152-154, 158.
Fuh, K. H. and S. B. Wang (1997). "Force modeling and forecasting in creep feed grinding using improved BP neural network." International Journal of Machine Tools & Manufacture 37(8): 1167-1178.
Fuh, K.-H. and S.-B. Wang (1997). "Force modeling and forecasting in creep feed grinding using improved bp neural network." International Journal of Machine Tools and Manufacture 37(8): 1167-1178.
Fujii, T. and S. Funabiki (1997). "A control strategy for leveling load power fluctuations with a successive learning fuzzy-neural network based on prediction of average load power." Electrical Engineering in Japan 120(2): 72-81.
Fujii, H., D. J. C. MacKay, et al. (1999). "Prediction of creep rupture life in nickel-base superalloys using Bayesian neural network." Journal of the Japan Institute of Metals 63(7): 905-911.
Fujikawa, K., Y. Matsui, et al. (2003). "Predicting disease outcome of non-invasive transitional cell carcinoma of the urinary bladder using an artificial neural network model: results of patient follow-up for 15 years or longer." International Journal Of Urology: Official Journal Of The Japanese Urological Association 10(3): 149-152.
Fujiwara, Y. and M. Asogawa (2002). "Protein function prediction using hidden Markov models and neural networks." Nec Research & Development 43(4): 238-241.
Fujiwara, S.-i., F. Yamashita, et al. (2002). "Prediction of Caco-2 cell permeability using a combination of MO-calculation and neural network." International Journal Of Pharmaceutics 237(1-2): 95-105.
Fukata, M., S. Taguchi, et al. (2002). "Neural network prediction of relativistic electrons at geosynchronous orbit during the storm recovery phase: effects of recurring substorms." Annales Geophysicae 20(7): 947-951.
Fun, W. (1995). Adaptive motor control using predictive neural networks: 101 p.
Fun, W. (1995). "Adaptive motor control using predictive neural networks." DAI 57(02B): 1232.
Fung, C. C., K. W. Wong, et al. (1997). "Modular artificial neural network for prediction of petrophysical properties from well log data." Ieee Transactions on Instrumentation and Measurement 46(6): 1295-1299.
Fung, E. H. K., Y. K. Wong, et al. (2003). "Modelling and prediction of machining errors using ARMAX and NARMAX structures." Applied Mathematical Modelling 27(8): 611-627.
Furui, S. (2001). Digital speech processing, synthesis, and recognition. New York, Marcel Dekker.
Furundzic, D. (1998). "Application example of neural networks for time series analysis: Rainfall-runoff modeling." Signal Processing 64(3): 383-396.
Fülöp, T., P. J. Catto, et al. (2002). Effect of poloidal density variation of neural atoms on the tokamak edge. Cambridge, MA, Plasma Science and Fusion Center Massachusetts Institute of Technology.
Gaal, G. (1993). "Calculation of Movement Direction from Firing Activities of Neurons in Intrinsic Co-ordinate Systems Defined by Their Preferred Directions." Journal of Theoretical Biology 162(1): 103-130.
Gad, E. F., A. F. Atiya, et al. (2000). "A new algorithm for learning in piecewise-linear neural networks." Neural Networks 13(4-5): 485-505.
Gagne, F. and C. Blaise (1997). "Predicting the toxicity of complex mixtures using artificial neural networks." Chemosphere 35(6): 1343-1363.
Gagnon, C. "Modelisation Du Dosage D'alun De L'usine De Traitement Du L'eau Potable De Sainte-Foy Par Reseaux De Neurones (French Text)." MAI, , 34, no. 06, (1996): 2417.
Gagnon, C. (1996). "Modelisation du dosage d'alun de l'usine de traitement du l'eau potable de Sainte-Foy par reseaux de neurones (French text, Quebec)." MAI 34(06): 2417.
Gakh, A. A., E. G. Gakh, et al. (1994). "Neural-Network Graph-Theory Approach to the Prediction of the Physical-Properties of Organic-Compounds." Journal of Chemical Information and Computer Sciences 34(4): 832-839.
Gakh, A. A., B. G. Sumpter, et al. (1997). "Prediction of complexation properties of crown ethers using computational neural networks." Journal of Inclusion Phenomena and Molecular Recognition in Chemistry 27(3): 201-213.
Gallant, P. J. (2001). "A hybrid evolutionary algorithm to train neural networks as time-series predictors." DAI 62(04B): 1985.
Gallant, P. J. (2002). A hybrid evolutionary algorithm to train neural networks as time-series predictors. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Galvan, I. M. and J. M. Zaldivar (1997). "Application of recurrent neural networks in batch reactors: Part I. NARMA modelling of the dynamic behaviour of the heat transfer fluid temperature." Chemical Engineering and Processing 36(6): 505-518.
Galvan, I. M. and J. M. Zaldivar (1998). "Application of recurrent neural networks in batch reactors - Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature." Chemical Engineering and Processing 37(2): 149-161.
Galvan, I. M. and J. M. Zaldivar (1998). "Application of recurrent neural networks in batch reactors: Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature." Chemical Engineering and Processing 37(2): 149-161.
Galvan, I. M. and P. Isasi (2001). "Multi-step learning rule for recurrent neural models: An application to time series forecasting." Neural Processing Letters 13(2): 115-133.
Galvan, I. M., P. Isasi, et al. (2001). "PNNARMA model: an alternative to phenomenological models in chemical reactors." Engineering Applications of Artificial Intelligence 14(2): 139-154.
Gammerman, A. (1996). Computational learning and probabilistic reasoning. Chichester ; New York, Wiley.
Ganguly, A. R. (2002). "A Hybrid Approach to Improving Rainfall Forecasts,." Computing in Science and Engineering 4(4): 14-21.
Ganguly, S. (2003). "Prediction of VLE data using radial basis function network." Computers & Chemical Engineering 27(10): 1445-1454.
Ganjavi, M. R., C. Lucas, et al. (1999). "Short term load forecasting using fuzzy neural network modified by the similarity and subsethood measures." Journal of Intelligent & Fuzzy Systems 7(4): 347-357.
Gao, C., R. Govind, et al. (1996). "Predicting soil sorption coefficients of organic chemicals using a neural network model." Environmental Toxicology and Chemistry 15(7): 1089-1096.
Gao, X. M., X. Z. Gao, et al. (1997). "Power prediction in mobile communication systems using an optimal neural-network structure." Ieee Transactions on Neural Networks 8(6): 1446-1455.
Gao, R. and L. H. Tsoukalas (2001). "Neural-wavelet methodology for load forecasting." Journal of Intelligent & Robotic Systems 31(1-3): 149-157.
Gao, L. and N. W. Loney (2002). "New hybrid neural network model for prediction of phase equilibrium in a two-phase extraction system." Industrial & Engineering Chemistry Research 41(1): 112-119.
Gao, X. Z., S. J. Ovaska, et al. (2002). "Temporal difference method-based multi-step ahead prediction of long term deep fading in mobile networks." Computer Communications 25(16): 1477-1486.
Gao, D.-W., P. Wang, et al. (2003). "A study on prediction of the bio-toxicity of substituted benzene based on artificial neural network." Journal Of Environmental Science And Health. Part. B, Pesticides, Food Contaminants, And Agricultural Wastes 38(5): 571-579.
Gao, Y., Y. Wang, et al. (2003). "The prediction for gas chromatographic retention index of disulfides on stationary phases of different polarity." Talanta 59(2): 229-237.
Gaperlin, M., L. Tuar, et al. (1998). "Lipophilic semisolid emulsion systems: viscoelastic behaviour and prediction of physical stability by neural network modelling." International Journal of Pharmaceutics 168(2): 243-254.
Garavaglia, S. B. "Economic Rationality and Neural Networks." DAI, , 54, no. 04A, (1993): 1472.
Garcia, L. A., F. Argueso, et al. (1995). "Application of neural networks for controlling and predicting quality parameters in beer fermentation." Journal of Industrial Microbiology 15(5): 401-406.
Garcia, H. E. and R. B. Vilim (2003). "Integrating physical modeling, neural computing, and statistical analysis for on-line process monitoring." Nuclear Technology 141(1): 69-77.
Garcia-Gimeno, R. M., C. Hervas-Martinez, et al. (2002). "Improving artificial neural networks with a pruning methodology and genetic algorithms for their application in microbial growth prediction in food." International Journal Of Food Microbiology 72(1-2): 19-30.
Garcia-Gimeno, R. M., C. Hervas-Martinez, et al. (2002). "Improving artificial neural networks with a pruning methodology and genetic algorithms for their application in microbial growth prediction in food." International Journal of Food Microbiology 72(1-2): 19-30.
Garcia-Salicetti, S. (1996). "A Neural Lexical Post-Processor for Improved Neural Predictive Word Recognition." Lecture notes in computer science(1112): 587.
Garcia-Salicetti, S., B. Dorizzi, et al. (1996). "Adaptive Discrimination in an HMM-Based Neural Predictive System for On-Line Word Recognition." Proceedings 4 4: 515-519.
García Rodríguez, A. (1997). Predicción de tráfico de vídeo VBR con redes neuronales.
Gardner, M. W. and S. R. Dorling (1998). "Artificial neural networks (the multilayer perceptron)--a review of applications in the atmospheric sciences." Atmospheric Environment 32(14-15): 2627-2636.
Gardner, J. W., E. L. Hines, et al. (1999). "Prediction of health of dairy cattle from breath samples using neural network with parametric model of dynamic response of array of semiconducting gas sensors." Iee Proceedings-Science Measurement and Technology 146(2): 102-106.
Gardner, M. W. and S. R. Dorling (1999). "Neural network modelling and prediction of hourly NOx and NO2 concentrations in urban air in London." Atmospheric Environment 33(5): 709-719.
Gardner, G. C., M. E. O'Leary, et al. (2003). "Neural networks for prediction of acoustical properties of polyurethane foams." Applied Acoustics 64(2): 229-242.
Garg, S., L. E. K. Achenie, et al. (2001). Class discovery and class prediction in cDNA microarray gene expression data using an evolutionary neural net. New York, N.Y., American Institute of Chemical Engineers.
Gasperlin, M., L. Tusar, et al. (1998). "Lipophilic semisolid emulsion systems: viscoelastic behaviour and prediction of physical stability by neural network modelling." International Journal of Pharmaceutics 168(2): 243-254.
Gasperlin, M., L. Tusar, et al. (2000). "Viscosity prediction of lipophilic semisolid emulsion systems by neural network modelling." International Journal Of Pharmaceutics 196(1): 37-50.
Gately, E. (1996). Neural networks for financial forecasting. New York, Wiley.
Gates, C. E. (1995). "The application of neural networks to predicting the conductivity of water." MAI 34(04): 1615.
Gates, C. (1996). The application of neural networks to predicting the conductivity of water. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Gaudiano, P. "Neural Network Models for Spatio-Temporal Visual Processing and Adaptive Sensory-Motor Control (Retina, Ganglion Cell, Vector Associative Maps)." DAI, , 52, no. 04B, (1991): 1879.
Gautam, S. S. "Training the Neural Network Using Fast Adaptive Backpropagation Algorithm with Corrupted Training Set." MAI, , 34, no. 02, (1995): 0786.
Gavrilas, M., I. Ciutea, et al. (2001). Medium-term load forecasting with artificial neural network models. Electricity Distribution, 2001. Part 1: Contributions. CIRED. 16th International Conference and Exhibition on (IEE Conf. Publ No. 482).
Gavrishchaka, V. V. and S. B. Ganguli (2001). "Optimization of the neural-network geomagnetic model for forecasting large-amplitude substorm events." Journal of Geophysical Research-Space Physics 106(A4): 6247-6257.
Gazula, S., J. W. Clark, et al. (1992). "Learning and Prediction of Nuclear-Stability by Neural Networks." Nuclear Physics A 540(1-2): 1-26.
Geddes, D. J. "Neural Network-Based Co-Ordinated Control of a Power Plant Boiler." DAI, , 59, no. 03C, (1997): 0754.
Geesaman, E. L., D. A. Buzatu, et al. (2002). "Prediction of toxic equivalency factors for dioxins, furans, and PCBS using artificial neural networks." Abstracts of Papers of the American Chemical Society 223: U537-U537.
Geigle, D. S. (1999). An artificial neural network approach to the valuation of options and forecasting of volatility: xi, 125 leaves.
Geigle, D. S. (1999). "An Artificial Neural Network Approach to the Valuation of Options and Forecasting of Volatility." DAI 60(08A): 3057.
Gencay, R. "A Jacobian Algorithm of Lyapunov Exponents Via Multilayer Feedforward Networks (Neural Networks)." DAI, , 52, no. 09A, (1991): 3362.
Gencay, R. and T. Liu (1997). "Nonlinear Modelling and Prediction with Feedforward and Recurrent Networks." Physica D 108: 119-134.
Genceli, H. "Robust Stability and Performance Analysis of Constrained Model Predictive Control (Neural Networks)." DAI, , 54, no. 08B, (1993): 4276.
Genel, K., I. Ozbek, et al. (2002). "Boriding response of AISI W1 steel and use of artificial neural network for prediction of borided layer properties." Surface and Coatings Technology 160(1): 38-43.
Genel, K. (2003). "Use of artificial neural network for prediction of ion nitrided case depth in Fe-Cr alloys." Materials & Design 24(3): 203-207.
Geng, G. and G. M. Geary (1997). "Application of a neural-network-based RLS algorithm in the generalized predictive control of a nonlinear air-handling plant." Ieee Transactions on Control Systems Technology 5(4): 439-445.
Gentry, T. W. (1995). A comparative analysis of forecasting abilities of traditional quantitative techniques and neural networks: vii, 55 leaves, bound.
Georgalli, G. A., J. J. Eksteen, et al. (2002). "An integrated thermochemical-systems approach to the prediction of matte composition dynamics in an Ausmelt(R) nickel-copper matte converter." Minerals Engineering 15(1): 909-917.
George, J., A. Ahmed, et al. (2000). "The prediction of coronary atherosclerosis employing artificial neural networks." Clinical Cardiology 23(6): 453-456.
George, J., A. Ahmed, et al. (2000). "The prediction of coronary atherosclerosis employing artificial neural networks." Clinical Cardiology 23(6): 453-456.
George, R. K. (2001). "Prediction of soil temperature by using artificial neural networks algorithms." Nonlinear Analysis 47(3): 1737-1748.
Georgilakis, P. S., N. D. Hatziargyriou, et al. (1998). "Prediction of iron losses of wound core distribution transformers based on artificial neural networks." Neurocomputing 23(1-3): 15-29.
Gerard, O., J. N. Patillon, et al. (1999). "Discharge prediction of rechargeable batteries with neural networks." Integrated Computer-Aided Engineering 6(1): 41-52.
Gernoth, K. A. and J. W. Clark (1995). "Neural Networks That Learn to Predict Probabilities - Global-Models of Nuclear-Stability and Decay." Neural Networks 8(2): 291-311.
Gershenfeld, N. A. and A. S. Weigend (1993). The future of time series. Palo Alto, Calif., Xerox Corp. Palo Alto Research Center.
Geva, A. B. (1998). "ScaleNet - Multiscale neural-network architecture for time series prediction." Ieee Transactions on Neural Networks 9(6): 1471-1482.
Gharbi, R., M. Karkoub, et al. (1995). "An Artificial Neural-Network for the Prediction of Immiscible Flood Performance." Energy & Fuels 9(5): 894-900.
Ghasempoor-Nobandgany, A. "On-Line Wear Estimation in Turning (Tool Condition, Neural Networks)." DAI, , 60, no. 02B, (1998): 0799.
Ghysels, E., C. W. J. Granger, et al. (1996). "Is Seasonal Adjustment a Linear or Nonlinear Data Filtering Process?" Journal of Business and Economic Statistics 14(3): 374-387.
Giaimo, J. (1990). A proposed model for comparing the performance of neural networks and statistical approaches in predicting project profits of an asphalt paving company: xi, 156 leaves.
Gibson, G. L. and T. T. Kraft (1993). "Electric Demand Prediction Using Artificial Neural Network Technology." Ashrae Journal-American Society of Heating Refrigerating and Air-Conditioning Engineers 35(3): 60-&.
Gicquel, N., J. S. Anderson, et al. (1998). "Noninvertibility and resonance in discrete-time neural networks for time-series processing." Physics Letters A 238(1): 8-18.
Giddings, M. C., A. A. Shah, et al. (2002). "Artificial neural network prediction of antisense oligodeoxynucleotide activity." Nucleic Acids Research 30(19): 4295-4304.
Gil, E. (2000). "Improving the simulation of a waterflooding recovery process using artificial neural networks." MAI 39(06): 1620.
Giles, C. L. and M. Gori (1998). Adaptive processing of sequences and data structures : International Summer School on Neural Networks "E.R. Caianiello" Vietri sul Mare, Salerno, Italy, September 6-13 1997, tutorial lectures. Berlin ; New York, Springer.
Giles, C. L., S. Lawrence, et al. (2001). "Noisy time series prediction using recurrent neural networks and grammatical inference." Machine Learning 44(1-2): 161-183.
Gilli, M. (1995). "A Spectral Approach for Chaos Prediction in Delayed Cellular Neural Networks." International Journal of Bifurcation and Chaos 5(3): 869-875.
Gilliam, D. (1993). Neural networks for word prediction in augmentative communication: viii, 73 leaves.
Gilmore, J. F. and N. Abe (1995). Neural network models for traffic control and congestion prediction.
Gilmore, J. (1995). "Neural-Network Models for Traffic Control and Congestion Prediction - Response." Ivhs Journal 2(3): 312-312.
Gilmore, J. F. and N. Abe (1995). "Neural-Network Models for Traffic Control and Congestion Prediction." Ivhs Journal 2(3): 231-252.
Gilsinn, D., M. A. Donmez, et al. (1994). Prediction of geometric-thermal machine tool errors by artificial neural networks. Gaithersburg, MD, U.S. Dept. of Commerce Technology Administration National Institute of Standards and Technology.
Gim, G. "Hybrid Systems for Robustness and Perspicuity: Symbolic Rule Induction Combined with a Neural Net or a Statistical Model." DAI, , 56, no. 08A, (1995): 3195.
Gini, G., M. Lorenzini, et al. "Predictive carcinogenicity: a model for aromatic compounds, with nitrogen-containing substituents, based on molecular descriptors using an artificial neural network." Journal Of Chemical Information And Computer Sciences 39(6): 1076-1080.
Gini, G., M. Lorenzini, et al. (1999). "Predictive carcinogenicity: A model for aromatic compounds, with nitrogen-containing substituents, based on molecular descriptors using an artificial neural network." Journal of Chemical Information and Computer Sciences 39(6): 1076-1080.
Ginzberg, I. and D. Horn (1991). Learnability of times series. Neural Networks, 1991. 1991 IEEE International Joint Conference on.
Giordano, S. C. "Type Ii Keratin Expression in Goldfish Optic Nerve Glia: Primary Structure and Characterization in Neuronal and Non- Neuronal Tissues of the Goldfish (Neuronal Tissues)." DAI, , 51, no. 07B, (1990): 3219.
Giraud, F. (1999). "Analysis of a Utility-Interactive Wind-Photovoltaic Hybrid System with Battery Storage Using Neural Network." DAI 60(05B): 2259.
Girgis, A. A. and S. Varadan (1995). "Unit Commitment Using Load Forecasting Based on Artificial Neural Networks." Electric Power Systems Research 32(3): 213-217.
Gittes and S. M. Dirusso (2002). "Development of a model for prediction of survival in pediatric trauma patients: Comparison of artificial neural networks and logistic regression - Discussion." Journal of Pediatric Surgery 37(7): 1104-1104.
Giuffre, K. A., J. Cuttitta, et al. (1998). "A neural net genetic algorithm model to predict cesarean section in a busy labor ward." Anesthesiology 89(3A): U887-U887.
Givens, T. B., P. Braun, et al. (1996). "Predicting the presence of plasma heparin using neural networks to analyze coagulation screening assay optical profiles." Computers In Biology And Medicine 26(6): 463-476.
Gjaja, M. N. "Neural Networks for Learning and Prediction with Applications to Remote Sensing and Speech Perception (Adaptive Resonance, Computational Neuroscience)." DAI, , 57, no. 05B, (1997): 3286.
Gjaja, M. N. (1997). Neural networks for learning and prediction : with applications to remote sensing and speech perception: xvi, 207 leaves.
Gjaja, M. N. (1997). "Neural networks for learning and prediction with applications to remote sensing and speech perception." DAI 57(05B): 3286.
Gleisner, H., H. Lundstedt, et al. (1996). "Predicting geomagnetic storms from solar-wind data using time-delay neural networks." Annales Geophysicae-Atmospheres Hydrospheres and Space Sciences 14(7): 679-686.
Gleisner, H. (2000). "Solar wind and geomagnetic activity: Predictions using neural networks." DAI 62(01C): 103.
Gleisner, H. and H. Lundstedt (2001). "Auroral electrojet predictions with dynamic neural networks." Journal of Geophysical Research-Space Physics 106(A11): 24541-24549.
Gleisner, H. and H. Lundstedt (2001). "A neural network-based local model for prediction of geomagnetic disturbances." Journal of Geophysical Research-Space Physics 106(A5): 8425-8433.
Glovier, D. A. "Study of Human Factors Variables in Battle Outcome Prediction Models (Neural Networks)." DAI, , 59, no. 04B, (1998): 1796.
Glovier, D. A. (1998). "Study of Human Factors Variables in Battle Outcome Prediction Models (Neural Networks)." DAI 59(04B): 228.
Gobburu, J. V. S. "Artificial Neural Networks as a Novel Approach to Pharmacokinetics (Artificial Intelligence)." DAI, , 58, no. 06B, (1997): 2975.
Godavarthy, S. S. and American Institute of Chemical Engineers. (2003). Improved models for pure property prediction using quantitative structure property relationships and artificial neural networks. New York, N.Y., distributed by American Institute of Chemical Engineers.
Goetsch, G. J. "Maximization of Mutual Information in a Context Sensitive Neural Network." DAI, , 51, no. 10B, (1990): 4921.
Goff, D. A., S. M. Thomas, et al. (2000). "A neural network approach to predicting airspeed in helicopters." Neural Computing & Applications 9(2): 73-82.
Goh, A. T. C. (1995). "Prediction of Ultimate Shear-Strength of Deep Beams Using Neural Networks." Aci Structural Journal 92(1): 28-32.
Goh, A. T. C. (2002). "Prediction of ultimate shear strength of reinforced-concrete deep beams using neural networks - Discussion." Journal of Structural Engineering-Asce 128(12): 1624-1624.
Gokceoglu, C. (2002). "A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara agglomerates from their petrographic composition." Engineering Geology 66(1-2): 39-51.
Goldfarb-Rumyantzev, A. S. and L. Pappas (2002). "Prediction of renal insufficiency in Pima Indians with nephropathy of type 2 diabetes mellitus." American Journal Of Kidney Diseases: The Official Journal Of The National Kidney Foundation 40(2): 252-264.
Goldfarb-Rumyantzev, A., M. H. Schwenk, et al. (2003). "Prediction of single-pool kt/v based on clinical and hemodialysis variables using multilinear regression, tree-based modeling, and artificial neural networks." Artificial Organs 27(6): 544-554.
Goldman, M. S. (2000). "Computational implications of activity-dependent neuronal processes." DAI 61(09B): 4782.
Goll, E. S. and P. C. Jurs (1999). "Prediction of the normal boiling points of organic compounds from molecular structures with a computational neural network model." Journal of Chemical Information and Computer Sciences 39(6): 974-983.
Goll, E. S. and P. C. Jurs (1999). "Prediction of vapor pressures of hydrocarbons and halohydrocarbons from molecular structure with a computational neural network model." Journal of Chemical Information and Computer Sciences 39(6): 1081-1089.
Golob, R., T. Stokelj, et al. (1998). "Neural-network-based water inflow forecasting." Control Engineering Practice 6(5): 593-600.
Golub, R., R. Cantu, Jr, et al. (1998). "The prediction of common bile duct stones using a neural network." Journal Of The American College Of Surgeons 187(6): 584-590.
Golub, R., R. CantuJr, et al. (1998). "The prediction of common bile duct stones using a neural network." Journal of the American College of Surgeons 187(6): 584-590.
Golub, R. and M. Tan (1999). "The prediction of common bile duct stones using a neural network." Gastroenterology 116(4): A1315-A1315.
Gomez, S. M. and A. Rzhetsky (2002). "Towards the prediction of complete protein--protein interaction networks." Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing: 413-424.
Gomez Gil, M. D. P. "The Effect of Non-Linear Dynamic Invariants in Recurrent Neural Networks for Prediction of Electrocardiograms (Lyapunov Exponents)." DAI, , 59, no. 11B, (1998): 5933.
Gomez Gil, M. D. P. (1998). "The Effect of Non-Linear Dynamic Invariants in Recurrent Neural Networks for Prediction of Electrocardiograms (Lyapunov Exponents)." DAI 59(11B): 127.
Gomm, J. B., P. J. G. Lisboa, et al. (1994). "Accurate Multi-Step-Ahead Prediction of Nonlinear-Systems Using the Mlp Neural-Network with Spread Encoding." Transactions of the Institute of Measurement and Control 16(4): 203-213.
Gomm, J. B., D. Williams, et al. (1997). "Neural network applications in process modelling and predictive control." Transactions of the Institute of Measurement and Control 19(4): 175-184.
Gomm, J. B., J. T. Evans, et al. (1997). "Development and performance of a neural-network predictive controller." Control Engineering Practice 5(1): 49-59.
Gong, N. and T. Denoeux (1996). "Urban stormwater pollution forecasting using recurrent neural networks." Journal of Systems Engineering 6(3): 137-147.
Gong, R. H. and Y. Chen (1999). "Predicting the performance of fabrics in garment manufacturing with artificial neural networks." Textile Research Journal 69(7): 477-482.
Gonzalez, S. (2000). Neural Networks for Macroeconomic Forecasting:
A Complementary Approach to Linear Regression Models. Working Paper 2000-07: 48.
Gonzalez, S. and Canada. Dept. of Finance. (2000). Neural networks for macroeconomic forecasting a complementary approach to linear regression models. Ottawa, Dept. of Finance.
Gonzalez, S. and Canada. Economic and Fiscal Policy Branch (2000). Neural networks for macroeconomic forecasting : a complementary approach to linear regression models. Ottawa, Dept. of Finance Economic and Fiscal Policy Branch.
Gonzalez, J. M. B. (2002). "Artificial neural networks: A comparison of three modeling approaches to study college application behavior." DAI 63(04A): 1202.
Gonzalez, J. M. B. and S. L. DesJardins (2002). "Artificial neural networks: A new approach to predicting application behavior." Research in Higher Education 43(2): 235-258.
Gonzalez, A., M. A. Barrufet, et al. (2003). "Improved neural-network model predicts dewpoint pressure of retrograde gases." Journal of Petroleum Science and Engineering 37(3-4): 183-194.
Gonzalez Lanza, P. A. and J. M. Zamarreno Cosme (2002). "A short-term temperature forecaster based on a state space neural network." Engineering Applications of Artificial Intelligence 15(5): 459-464.
Gonzalez Zambrano, A. A. (2002). Development of neural network models for the prediction of dewpoint pressure of retrograde gases and saturated oil viscosity of black oil systems: x, 141 leaves.
González, D. S. and A. V. Castro (2001). Comparing neural networks and efficiency techniques in non-linear production functions. Documentos de trabajo from Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales. Madrid: 1-12.
Goodman, M. S. "Transient Air/Fuel Ratio Control of Spark Ignition Engines Using Neural Networks." DAI, , 58, no. 03C, (1996): 1064.
Goodman, S. D. "Temporal Pattern Identification in a Self-Organizing Neural Network with an Application to Data Compression." DAI, , 52, no. 09B, (1991): 4891.
Goodman, R. M. and B. E. Ambrose (1994). Time Series Prediction of Telephone Traffic Occupancy Using Neural Networks. Proceedings of the 4th Irish Neural Network Conference, University College Dublin, Ireland.
Gopal, S. and L. Scuderi (1995). "Application of Artificial Neural Networks in Climatology - a Case-Study of Sunspot Prediction and Solar Climate Trends." Geographical Analysis 27(1): 42-59.
Gordon, J. S. "A Neural Network Approach to the Prediction of Violence (Violence Prediction)." DAI, , 53, no. 09B, (1992): 4983.
Gordon, J. S. (1992). A neural network approach to the prediction of violence: ix, 140 leaves.
Gorodkin, J., O. Lund, et al. (1999). "Using sequence motifs for enhanced neural network prediction of protein distance constraints." Proceedings / ... International Conference On Intelligent Systems For Molecular Biology ; ISMB. International Conference On Intelligent Systems For Molecular Biology: 95-105.
Gorr, W. L. (1994). "Research Prospective on Neural-Network Forecasting." International Journal of Forecasting 10(1): 1-4.
Gorr, W. L., D. Nagin, et al. (1994). "Comparative-Study of Artificial Neural-Network and Statistical-Models for Predicting Student Grade-Point Averages." International Journal of Forecasting 10(1): 17-34.
Gorr, W. L. (1994). "Editorial: Research prospective on neural network forecasting." International journal of forecasting 10(1): 1.
Goss, E. P. and H. Ramchandani (1998). "Survival Prediction in the Intensive Care Unit: a Comparison of Neural Networks and Binary Logit Regression." Socio-Economic Planning Sciences 32(3): 189-198.
Goswami, P. (1996). "An experimental annual forecast of all-India mean summer monsoon rainfall using neural network." Current Science 70(12): 1039-1039.
Goswami, P. and Srividya (1996). "A novel neural network design for long range prediction of rainfall pattern." Current Science 70(6): 447-457.
Goswami, P. and P. Kumar (1997). "Experimental annual forecast of all-India mean summer monsoon rainfall for 1997 using a neural network model." Current Science 72(11): 781-782.
Goswami, P., G. Crasta, et al. (1999). "Experimental forecasts of all-India monthly and summer monsoon rainfall using neural network." Current Science 76(11): 1481-1483.
Goswami, P. (2002). "Experimental forecasts of all-India summer monsoon rainfall for 2002 and 2003 using neural network." Current Science 82(10): 1207-1208.
Gott, C. D., L. Y. Pratt, et al. (1994). Comparison of the back propagation and conjugate gradient neural network algorithms: x, 88 leaves.
Gottschling, A. P. "Three Essays in Neural Networks and Financial Prediction (Fuzzy Logic System, Sigma, Sigma Pi, S&P 500 Index)." DAI, , 58, no. 03A, (1997): 1015.
Gottschling, A. P. (1997). Three essays in neural networks and financial prediction: xiii, 125 leaves.
Gottschling, A., C. Haefke, et al. (1999). Closed form integration of artificial neural networks with some applications to finance. La Jolla, CA, University of California San Diego Dept. of Economics.
Govil, S. "Robust Polynomial Algorithms for Designing Locally Tuned Neural Nets for Function Approximation and Pattern Classification." DAI, , 54, no. 07B, (1993): 3834.
Gómez Ortega, J. and E. F. Camacho (1997). Neural predictive control for mobile robot navigation in a partially structured static environment.
Gómez-Gil, M. d. P. (1998). The effect of non-linear dynamic invariants in recurrent neural networks for prediction of electrocardiograms: xi, 127 leaves.
Gradojevic, N., J. Yang, et al. (2000). The application of artificial neural networks to exchange rate forecasting : the role of market microstructure variables. Ottawa, Bank of Canada.
Gradojevic, N. and Bank of Canada. (2000). The application of artificial neural networks to exchange rate forecasting the role of market microstructure variables. Ottawa, Bank of Canada.
Granger, E. (2002). "Une etude des reseaux de neurones artificiels pour la classification rapide d'impulsions radars." DAI 63(08B): 3842.
Graziano, M. J. "A Statistical Training Methodology for Pattern Classifying Neural Networks." DAI, , 56, no. 05B, (1995): 2780.
Greaves, A. J. (2000). "The prediction of the substantivity of anionic, water soluble dyes on a biomass using neural networks." Dyes and Pigments 46(2): 101-107.
Grebogi, C. and J. A. Yorke (1997). The impact of chaos on science and society. Tokyo ; New York, United Nations University Press.
Greenman, R. M. "Two-Dimensional High-Lift Aerodynamic Optimization Using Neural Networks (Airfoils)." DAI, , 59, no. 08B, (1998): 4264.
Gregory, A. L. (1998). Neuron specific enolase as a predictor of self-report outcome in mild to moderate closed head injury patients: viii, 44 leaves.
Griffin, G. R. (1995). Predicting naval aviator flight training performance using multiple regression and an artificial neural network. S.l., s.n.: x, 133 leaves.
Griffin, G. R. (1995). "Predicting naval aviator flight training performance using multiple regression and an artificial neural network." DAI 57(01A): 100.
Griffin, G. R. (1998). "Predicting naval aviator flight training performance using multiple regression and an artificial neural network." International Journal of Aviation Psychology 8(2): 121-135.
Griffith, J. L. "Maximum Likelihood Estimates for Feedforward Multilayer Neural Networks." DAI, , 54, no. 04B, (1994): 2048.
Griggs, J. W. (1992). The development of a neural network for a low level wind shear alert system: x, 182 leaves.
Grigsby, J., R. Kooken, et al. (1994). "Simulated Neural Networks to Predict Outcomes, Costs, and Length of Stay among Orthopedic Rehabilitation Patients." Archives of Physical Medicine and Rehabilitation 75(10): 1077-1081.
Grigsby, J., R. E. Kramer, et al. (1995). "Predicting Outcome of Epilepsy Surgery with Simulated Neural Networks." Epilepsia 36: 364-364.
Grigsby, J., R. E. Kramer, et al. (1998). "Predicting outcome of anterior temporal lobectomy using simulated neural networks." Epilepsia 39(1): 61-66.
Grigsby, J., R. E. Kramer, et al. (1998). "Predicting outcome of anterior temporal lobectomy using simulated neural networks." Epilepsia 39(1): 61-66.
Gritta, R. D. (2002). Small, US carrier financial condition : a back-propogation neural network approach to forecasting bankruptcy and financial stress.
Grossberg, S., D. S. Levine, et al. (1987). Predictive regulation of associative learning in a neural network by reinforcement and attentive feedback. Bolling Air Force Base, Washington, DC, AFOSR.
Grossberg, S. and IEEE. Neural Networks Council. (1992). Learning, recognition, and prediction by self-organizing neural networks. Piscataway, NJ, IEEE.
Grossberg, S., R. Paine, et al. (2000). A neural model of corticocerebellar interactions during attentive imitation and predictive learning of sequential handwriting movements. Boston, MA, Boston University Center for Adaptive Systems and Dept. of Cognitive and Neural Systems.
Grossman, R., S. Bailey, et al. (1999). "The management and mining of multiple predictive models using the predictive modeling markup language." Information and Software Technology 41(9): 589-595.
Grubert, J. P. (1995). "Prediction of Estuarine Instabilities with Artificial Neural Networks." Journal of Computing in Civil Engineering 9(4): 266-274.
Grudnitski, G. and L. Osburn (1993). "Forecasting S-and-P and Gold Futures Prices - an Application of Neural Networks." Journal of Futures Markets 13(6): 631-643.
Grumett, S., P. Snow, et al. (2003). "Neural networks in the prediction of survival in patients with colorectal cancer." Clinical Colorectal Cancer 2(4): 239-244.
Grunenberg, J. and R. Herges (1995). "Prediction of Chromatographic Retention Values (R(M)) and Partition-Coefficients (Log P-Oct) Using a Combination of Semiempirical Self-Consistent Reaction Field Calculations and Neural Networks." Journal of Chemical Information and Computer Sciences 35(5): 905-911.
Gryning, S.-E., M. a. M. Millþan, et al. (1994). Air pollution modeling and its application X. New York, Plenum Press.
Grzenda, M. and B. Macukow (2002). "Evolutionary neural-networks based optimisation for short-term load forecasting." Control and Cybernetics 31(2): 371-382.
Grzesiak, W., R. Lacroix, et al. (2003). "A comparison of neural network and multiple regression predictions for 305-day lactation yield using partial lactation records." Canadian Journal of Animal Science 83(2): 307-310.
Gu, D. and H. Hu (2002). "Neural predictive control for a car-like mobile robot." Robotics and autonomous systems 39(2): 14.
Gu, D. B. and H. S. Hu (2002). "Neural predictive control for a car-like mobile robot." Robotics and Autonomous Systems 39(2): 73-86.
Guan, B. T. "Modeling Red Pine Tree Mortality: An Artificial Neural Network Approach (Pinus Resinosa)." DAI, , 52, no. 11B, (1991): 5605.
Guan, Q. "Development of Optimal Network Structures for Back- Propagation-Trained Neural Networks (Bankruptcy Prediction)." DAI, , 54, no. 07A, (1993): 2646.
Guan, Q. (1993). Development of optimal network structures for back-propagation-trained neural networks: vii, 164 leaves.
Guan, B. and Construction engineering research lab (army) champaign il. (1998). Modeling Training Site Vegetation Coverage Probability with a Random Optimizing Procedure: An Artificial Neural Network Approach. United States, Construction engineering research lab (army) champaign il.
Guasti, P. J. "An Improved Neural Net-Based Approach for Predicting Software Quality." MAI, , 33, no. 05, (1995): 1535.
Guasti, P. J. (1995). An improved neural net-based approach for predicting software quality: xii, 107 leaves.
Gugel, K. S. "Partitioning Artificial Neural Networks onto Coarse Granular Parallel Systems." DAI, , 55, no. 09B, (1993): 4036.
Guh, J. Y., C. Y. Yang, et al. (1998). "Prediction of equilibrated postdialysis BUN by an artificial neural network in high-efficiency hemodialysis." American Journal Of Kidney Diseases: The Official Journal Of The National Kidney Foundation 31(4): 638-646.
Guha, A., R. Chattopadhyay, et al. (2001). "Predicting yarn tenacity: A comparison of mechanistic, statistical, and neural network models." Journal of the Textile Institute 92(1): 139-145.
Guhathakurta, P., M. Rajeevan, et al. (1999). "Long range forecasting Indian summer monsoon rainfall by a hybrid principal component neural network model." Meteorology and Atmospheric Physics 71(3-4): 255-266.
Gulati, S. "Computational Neural Learning Formalisms for Perceptual Manipulation: Singularity Interaction Dynamics Model (Dynamical Neural Networks, Constrained Optimization)." DAI, , 52, no. 03B, (1990): 1544.
Gulati, R. K. and L. Altamirano (2000). "Prediction of spectral and luminosity classes from spectral indices with artificial neural networks." Astrophysics and Space Science 273(1-4): 73-81.
Guler, B., T. Ertekin, et al. (2003). "An artificial neural network based relative permeability predictor." Journal of Canadian Petroleum Technology 42(4): 49-57.
Guleyupoglu, S. and R. E. Smith (1995). "Prediction of Hypervelocity Orbital Debris Impact Damage to the Space Station by Neural Networks." Mathematical and Computer Modelling 21(1-2): 229-242.
Gulley, J. M. (2000). "Movement- and drug-induced changes in the activity of basal ganglia output neurons in awake, unrestrained rats." DAI 61(08B): 4016.
Gulliford, S., S. Webb, et al. (2002). "Predicting post-radiotherapy outcomes for prostate patients using artificial neural networks." Medical Physics 29(6): 1324-1324.
Gulukota, K. and C. DeLisi (2001). "Neural network method for predicting peptides that bind major histocompatibility complex molecules." Methods In Molecular Biology (Clifton, N.J.) 156: 201-209.
Gumpanart, B. (1995). Short-term electric load forecasting using neural network with fuzzy set based classification: ix, 135 leaves, bound.
Gumrah, F., B. Oz, et al. (2000). "The application of artificial neural networks for the prediction of water quality of polluted aquifer." Water Air and Soil Pollution 119(1-4): 275-294.
Guo, M., L. Xu, et al. (1996). "Prediction of molar absorptivities of color reagents during their color reactions with cerium using multiple regression analysis and neural network." Analytical Sciences 12(2): 291-294.
Guo, Q. X., S. H. Luo, et al. (1996). "Prediction of stability constants for inclusion complexes of beta-cyclodextrin with substituted benzenes by artificial neural networks." Chinese Chemical Letters 7(3): 285-288.
Guo, Q. X., S. H. Luo, et al. (1996). "A novel approach to the prediction of binding constants for the inclusion complexation of alpha-cyclodextrin with benzene derivatives by artificial neural networks." Journal of Chemical Research-S(1): 38-39.
Guo, Q. X., L. Liu, et al. (1998). "Driving force prediction for inclusion complexation of alpha-cyclodextrin with benzene derivatives by a wavelet neural network." Chemical Physics Letters 290(4-6): 514-518.
Guo, Q.-X., L. Liu, et al. (1998). "Driving force prediction for inclusion complexation of [alpha]-cyclodextrin with benzene derivatives by a wavelet neural network." Chemical Physics Letters 290(4-6): 514-518.
Guo, P. (2002). "Studies of model selection and regularization for generalization in neural networks with applications." DAI 63(05B): 2456.
Gupta, S. K. "New Approaches to Text-Independent Speaker Verification (Neural Networks, Vector Quantization)." DAI, , 51, no. 01B, (1989): 0349.
Gupta, G. (1994). Neural network modeling of chaotic time series and fermentation bioreactors: 118 leaves.
Gupta, V. K., J. Gavidia, et al. (1999). A comparison of neural networks and econometric discrete dependent variable models in prediction of occupational attainment.
Gupta, L. and M. McAvoy (2000). "Investigating the prediction capabilities of the simple recurrent neural network on real temporal sequences." Pattern Recognition 33(12): 2075-2081.
Gupta, L., M. McAvoy, et al. (2000). "Classification of temporal sequences via prediction using the simple recurrent neural network." Pattern Recognition 33(10): 1759-1770.
Gutierrez, A. I., J. J. Espinosa, et al. (2000). "SCIENCE - FEATURE ISSUE on MODEL PREDICTIVE CONTROL - Neural Network Based Predictive Control Applied to a Simulated Semiconductor Deposition Reactor." Journal A. Revue A. Tijdschrift A. Zeitschrift A 41(1): 8.
Gutierrez-Estrada, J. C., E. de Pedro-Sanz, et al. "Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system." Aquacultural Engineering In Press, Corrected Proof.
Gutteridge, A., G. J. Bartlett, et al. (2003). "Using a neural network and spatial clustering to predict the location of active sites in enzymes." Journal Of Molecular Biology 330(4): 719-734.
Guzik, A. L. "On the Lateralization of Sound Onset by the Mauthner System and Other Reticulospinal Neurons Involved in the Control of Escape Behaviors in Goldfish (Carassius Auratus) (Localization)." DAI, , 58, no. 01B, (1996): 0083.
Gyllenberg, M. and T. Koski (1995). "A Taxonomic Associative Memory-Based on Neural Computation." Binary-Computing in Microbiology 7(2): 61-66.
Ha, H. (2002). "Classification of stormwater and landuse using neural networks." DAI 63(11B): 5436.
Haas, D. J., J. Milano, et al. (1995). "Prediction of Helicopter Component Loads Using Neural Networks." Journal of the American Helicopter Society 40(1): 72-82.
Haber, R. E., A. Alique, et al. (2002). Tool wear prediction in milling using neural networks. Artificial Neural Networks - Icann 2002. Berlin, SPRINGER-VERLAG BERLIN. 2415: 807-812.
Haber, R. E. and A. Alique (2003). "Intelligent process supervision for predicting tool wear in machining processes." Mechatronics 13(8-9): 825-849.
Haberstroh, E., M. Koch, et al. (2001). "Application of artificial neural networks for the prediction of the effects of batch variations on the properties of rubber mouldings." Kautschuk Gummi Kunststoffe 54(7-8): 356-+.
Habiballah, W. A.-R. "Use of Neural Networks for Prediction of Vapor-Liquid Equilibrium K-Values for Light Hydrocarbon Mixtures." DAI, , 56, no. 06B, (1995): 3415.
Habiballah, W. A., R. A. Startzman, et al. (1993). "Use of Neural Networks for Prediction of Vapor-Liquid-Equilibrium K-Values." In Situ 17(2): 227-242.
Habiballah, W. A.-R. (1995). Use of neural networks for prediction of vapor-liquid equilibrium k-values for light hydrocarbon mixtures: xi, 299 leaves.
Habiballah, W. A., R. A. Startzman, et al. (1996). "Use of neural networks for prediction of vapor/liquid equilibrium K values for light-hydrocarbon mixtures." Spe Reservoir Engineering 11(2): 121-126.
Hackett, R. D., Y. F. Yuan, et al. (1994). "Predicting Turnover among Life-Insurance Sales Agents - a Comparison of the Traditional Linear-Model with a Neural-Network Approach." Canadian Psychology-Psychologie Canadienne 35(2A): 129-129.
Hadjiiski, L. and P. Hopke (2000). "Application of artificial neural networks to modeling and prediction of ambient ozone concentrations." Journal Of The Air & Waste Management Association (1995) 50(5): 894-901.
Haefke, C. and C. Helmenstein (1995). Forecasting Austrian IPOs : an application of linear and neural network error-correction models. Wien, Institut für Höhere Studien.
Haefke, C. and C. Helmenstein (1996). "Forecasting Austrian IPOs: An application of linear and neural network error-correction models." Journal of Forecasting 15(3): 237-251.
Haefner, P. T. "Empirical Classification of Marital Behavior (Neural Networks)." DAI, , 54, no. 09B, (1993): 4920.
Haesloop, D. G. "System Identification and Control Using Neural Networks with Combined Linear and Non-Linear Mapping Functionality (Process Models)." DAI, , 52, no. 05B, (1991): 2670.
Hafiz Hamza, A. S., N. M. Abdel-Gawad, et al. (2002). Electric load forecast for developing countries. Electrotechnical Conference, 2002. MELECON 2002. 11th Mediterranean.
Haft, D. H. "Descriptive and Predictive Models of the B Cell Response in Mice (Immune Response, Neural Networks)." DAI, , 53, no. 01B, (1992): 0189.
Hajmeer, M. N. "Time-Dependent Changes in Bologna, Syrup, and Ranch Dressings Following Simulated Consumer Use with Investigation on Modeling Artificial Neural Networks (Spoilage)." MAI, , 35, no. 03, (1996): 0733.
Hajmeer, M. N., I. A. Basheer, et al. (1997). "Computational neural networks for predictive microbiology .2. Application to microbial growth." International Journal of Food Microbiology 34(1): 51-66.
Hajmeer, M. N., I. A. Basheer, et al. (1997). "Computational neural networks for predictive microbiology. II. Application to microbial growth." International Journal Of Food Microbiology 34(1): 51-66.
Hakim, N. Z. "Dynamical Neural Network for Nonlinear Modeling, Prediction, and Signal Processing." DAI, , 53, no. 06B, (1992): 3064.
Hakim, N. Z. (1992). Dynamical neural network for nonlinear modeling, prediction, and signal processing.
Hakim, N. Z. (1992). Dynamical neural network for nonlinear modeling, prediction, and signal processing: vi, 130 leaves, bound.
Haley, P. J., D. Soloway, et al. (1999). "Real-Time Adaptive Control using Neural Generalized Predictive Control." Proceedings of the ... American Control Conference 6: 4278-4282.
Hall, T., H. E. Brooks, et al. (1999). "Precipitation forecasting using a neural network." Weather and Forecasting 14(3): 338-345.
Hall, J. and P. Mars (2000). "Limitations of artificial neural networks for traffic prediction in broadband networks." Iee Proceedings-Communications 147(2): 114-118.
Hallas, M. and G. Dorffner (1997). A comparative study on feedforward and recurrent neural networks in time series prediction using gradient descent learning, TU-Wien, Vienna University of Technology.
Halonen, K. I., A. K. Leppaniemi, et al. (2003). "Predicting fatal outcome in the early phase of severe acute pancreatitis by using novel prognostic models." Pancreatology: Official Journal Of The International Association Of Pancreatology (IAP) ... [Et Al.] 3(4): 309-315.
Halperin, J. R. P. "A Connectionist Neural Network Model of Aggression (Siamese Fighting Fish)." DAI, , 52, no. 11B, (1990): 5707.
Hamamoto, I., S. Okada, et al. (1995). "Prediction of the Early Prognosis of the Hepatectomized Patient with Hepatocellular-Carcinoma with a Neural-Network." Computers in Biology and Medicine 25(1): 49-59.
Hambli, R. (2002). "Prediction of burr height formation in blanking processes using neural network." International Journal of Mechanical Sciences 44(10): 2089-2102.
Hambli, R. and F. Guerin (2003). "Application of a neural network for optimum clearance prediction in sheet metal blanking processes." Finite Elements in Analysis and Design 39(11): 1039-1052.
Hamid, S. A. and Z. Iqbal "Using neural networks for forecasting volatility of S&P 500 Index futures prices." Journal of Business Research In Press, Corrected Proof.
Hamid, A., U. S. Dwivedi, et al. (2003). "Artificial neural networks in predicting optimum renal stone fragmentation by extracorporeal shock wave lithotripsy: a preliminary study." BJU International 91(9): 821-824.
Hamilton, D. B. "The Phase Transfer Function of Visual Cortical Neurons." DAI, , 48, no. 10B, (1987): 3135.
Hamilton, R. (1995). Predicting the fate of insolvent companies in administrative receivership - using statistical and neural methods. Loughborough, Loughborough University Banking Centre.
Hamilton, D. W. (1998). Predicting life transition appraisal in mid-life fathers : an illustration and assessment of neural network analysis: x, 42 leaves.
Hamilton, J. L. (2000). "Neural networks trained with electrophysiological data for lesion targeting in pallidotomy." DAI 61(01B): 393.
Hamm, L. and B. W. Brorsen (1993). "Forecasting Quarterly Hog Prices with Neural Networks." American Journal of Agricultural Economics 75(5): 1298-1298.
Hamm, L. (1995). Testing a neural network's ability to predict futures prices: vii, 93 leaves.
Han, G. "A Fuzzy Neural Architecture with Binary and Analog Inputs for Supervised Learning through Inferencing (Neural Networks, Error Correction)." DAI, , 54, no. 12A, (1993): 4402.
Han, S. S. "Modeling and Optimization of Plasma-Enhanced Chemical Vapor Deposition Using Neural Networks and Genetic Algorithms (Process Modelling, Silicon Dioxide Films, Cvd)." DAI, , 57, no. 10B, (1996): 6447.
Han, J., R. R. Ruan, et al. (1995). "Prediction of Hydrogel Pore-Size by Pulse Nmr and Neural Networks." Biotechnology Techniques 9(9): 637-642.
Han, C. (1999). Multi-variate estimation and forecasting with artificial neural networks: xvi, 220 leaves.
Han, C. (1999). "Multi-variate estimation and forecasting with artificial neural networks." DAI 60(11A): 4119.
Han, L. H., L. X. Han, et al. (1999). "Neural network applied to prediction of the failure stress for a pressurized cylinder containing defects." International Journal of Pressure Vessels and Piping 76(4): 215-219.
Han, L., L. Han, et al. (1999). "Neural network applied to prediction of the failure stress for a pressurized cylinder containing defects." International Journal of Pressure Vessels and Piping 76(4): 215-219.
Han, M., P. B. Snow, et al. (2000). "A neural network predicts progression for men with gleason score 3+4 versus 4+3 tumors after radical prostatectomy." Urology 56(6): 994-999.
Han, M., P. B. Snow, et al. (2001). "Evaluation of artificial neural networks for the prediction of pathologic stage in prostate carcinoma." Cancer 91(Supplement): 1661-1666.
Hanai, T., Y. Yatabe, et al. (2003). "Prognostic models in patients with non-small-cell lung cancer using artificial neural networks in comparison with logistic regression." Cancer Sci 94(5): 473-477.
Hands, R. V. (1998). Time series and neural network approaches to the Dow Jones industrial average: vi, 51 leaves.
Hanisch, E., M. Bussow, et al. (1998). "Individual prognosis of critically ill patients with septic shock by neural network?" Der Chirurg; Zeitschrift Fur Alle Gebiete Der Operativen Medizen 69(1): 77-81.
Hann, T. H. and E. Steurer (1996). "Much ado about nothing? Exchange rate forecasting: Neural networks vs linear models using monthly and weekly data." Neurocomputing 10(4): 323-339.
Hann, T. H. and E. Steurer (1996). "Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data*1." Neurocomputing 10(4): 323-339.
Hans Raj, K., R. S. Sharma, et al. (2000). "Modeling of manufacturing processes with ANNs for intelligent manufacturing." International Journal of Machine Tools and Manufacture 40(6): 851-868.
Hansen, J. V. and R. D. Nelson (1997). "Neural networks and traditional time series methods: A synergistic combination in state economic forecasts." Ieee Transactions on Neural Networks 8(4): 863-873.
Hansen, J. V., J. B. McDonald, et al. (1999). "Time series prediction with genetic-algorithm designed neural networks: An empirical comparison with modern statistical models." Computational Intelligence 15(3): 171-184.
Hansen, J. V. and R. D. Nelson (2002). "Data mining of time series using stacked generalizers." Neurocomputing 43(1-4): 173-184.
Hansen, J. V. and R. D. Nelson (2003). "Forecasting and recombining time-series components by using neural networks." Journal of the Operational Research Society 54(3): 307-317.
Hao-Che, P. and H. Yung-Tse (1995). "Use of artificial neural networks predicting trickling filter performance in a municipal wastewater treatment plant." Environmental Management and Health 6(2): 16.
Haque, M. E. and K. V. Sudhakar (2001). "Prediction of corrosion-fatigue behavior of DP steel through artificial neural network." International Journal of Fatigue 23(1): 1-4.
Haque, M. E. and K. V. Sudhakar (2002). "ANN back-propagation prediction model for fracture toughness in microalloy steel." International Journal of Fatigue 24(9): 1003-1010.
Harada, A. S. M. (2002). "Comparisons of classificatory methods in clinical diagnosis including artificial neural networks." DAI 63(03B): 1113.
Hardgrave, B. C., R. L. Wilson, et al. (1994). "Predicting Graduate Student Success - a Comparison of Neural Networks and Traditional Techniques." Computers & Operations Research 21(3): 249-263.
Hariharan, J. "A Phoneme Recognition and Encoding Method for Cochlear Implants (Speech Encoding, Neural Networks)." DAI, , 58, no. 10B, (1997): 5505.
Hart, A. Y. "Predicting the Tenure Outcome of Teachers Based on Variables Known at the Time of Application (Neural Network, Artificial Intelligence, Education Reform, Public Education)." DAI, , 58, no. 09A, (1997): 3380.
Hart, P. M. (1997). Neural network prediction of brain dysfunction / by Phyllis Hart: vi, 42 leaves.
Harvey, B. (1995). Stock market prediction using artificial neural networks : a macroeconomic approach. St Lucia, Qld.,: 1 v.
Hasham, F. A. "Modelling of Urban Air Pollution in the Edmonton Strathconoa Industrial Area Using Artificial Neural Networks." MAI, , 37, no. 03, (1998): 1008.
Hassan, A. E., K. H. Hamed, et al. (2000). An artificial neural network approach for predicting transport in heterogeneous geologic formations. Nev., Desert Research Institute.
Hassan, A. E. and K. H. Hamed (2001). "Prediction of plume migration in heterogeneous media using artificial neural networks." Water Resources Research 37(3): 605-623.
Hassanein, K. S. "A Neural Predictive Hmm Architecture for Speech and Speaker Recognition (Neural Networks)." DAI, , 56, no. 02B, (1994): 1001.
Hasselbacher, D. A. "The Development of a Dosing Model for the Anti-Coagulant Heparin Using Neural Networks." MAI, , 37, no. 01, (1998): 0249.
Hastie, T., R. Tibshirani, et al. (2001). The elements of statistical learning : data mining, inference, and prediction. New York, Springer.
Hatanaka, K., T. Tanaka, et al. (1993). "Breakout Forecasting System Based on Multiple Neural Networks for Continuous-Casting in Steel Production." Fujitsu Scientific & Technical Journal 29(3): 265-270.
Hatrik, S. and P. Zahradnik "Neural network approach to the prediction of the toxicity of benzothiazolium salts from molecular structure." Journal Of Chemical Information And Computer Sciences 36(5): 992-995.
Hatrik, S. and P. Zahradnik (1996). "Neural network approach to the prediction of the toxicity of benzothiazolium salts from molecular structure." Journal of Chemical Information and Computer Sciences 36(5): 992-995.
Hatzakis, G. and G. M. Davis (2001). "Neural networks in the prediction of reference values upon anthropometric characteristics on pediatric pulmonology." Journal of the American Medical Informatics Association: 924-924.
Hatzigeorgiou, A. G. (2002). "Translation initiation start prediction in human cDNAs with high accuracy." Bioinformatics (Oxford, England) 18(2): 343-350.
Haussler, D. and University of California Santa Cruz. Computer Research Laboratory. (1989). Generalizing the PAC model for neural net and other learning applications. Santa Cruz, Calif., University of California Santa Cruz Computer Research Laboratory.
Havel, J., J. E. Madden, et al. (1999). "Prediction of retention times for anions in ion chromatography using artificial neural networks." Chromatographia 49(9-10): 481-488.
Hayashi, Y. and S. Iwamoto (1994). "Long-Term Load Forecasting Using Improved Recurrent Neural-Network." Electrical Engineering in Japan 114(8): 41-54.
Hayashi, Y. and R. Setiono (2002). "Combining neural network predictions for medical diagnosis." Computers In Biology And Medicine 32(4): 237-246.
Haydon, G. H., R. Jalan, et al. (1996). "Artificial neural network analysis of viral and clinical factors in the prediction of cirrhosis in patients with hepatitis C virus infection: Training and validation." Hepatology 24(4): 1042-1042.
Haydon, G. H., R. Jalan, et al. (1998). "Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors." Journal Of Viral Hepatitis 5(4): 255-264.
Hayghe, T. H. (1994). A comparison of classical regression techniques and artificial neural networks in predicting the performance of second lieutenants at The Basic School. Annapolis, Md., U.S. Naval Academy.
Hayhoe, H. N., D. R. Lapen, et al. (2003). "Using weather indices to predict survival of winter wheat in a cool temperate environment." International Journal Of Biometeorology 47(2): 62-72.
Hayward, S. and J. F. Collins (1992). "Limits on Alpha-Helix Prediction with Neural Network Models." Proteins-Structure Function and Genetics 14(3): 372-381.
Häfke, C. and C. Helmenstein (1995). Neural networks in the capital markets : an application to index forecasting. Wien, Dept. of Economics Vienna University of Economics and Business Administration.
He, M. "On-Line Monitoring and Modeling of Biochemical Processes with Neural Network, Fluorescence, and Nir Techniques." DAI, , 55, no. 10B, (1994): 4486.
He, Q., J. N. Si, et al. (2000). "Prediction of top-oil temperature for transformers using neural networks." Ieee Transactions on Power Delivery 15(4): 1205-1211.
He, Q., J. Si, et al. (2001). "Closure to discussion of "Prediction of top-oil temperature for transformers using neural networks"." Ieee Transactions on Power Delivery 16(4): 826-826.
He, Y. (2002). "Development of a diesel engine simulation tool using artificial neural networks." DAI 63(07B): 3441.
Headgordon, T. and F. H. Stillinger (1993). "Optimal Neural Networks for Protein-Structure Prediction." Physical Review E 48(2): 1502-1515.
Heckerling, P. S., B. S. Gerber, et al. "Use of genetic algorithms for neural networks to predict community-acquired pneumonia." Artificial Intelligence in Medicine In Press, Corrected Proof.
Heckerling, P. S., B. S. Gerber, et al. "Prediction of community-acquired pneumonia using artificial neural networks." Medical Decision Making: An International Journal Of The Society For Medical Decision Making 23(2): 112-121.
Heckerling, P. S., B. S. Gerber, et al. (2003). "Prediction of community-acquired pneumonia using artificial neural networks." Medical Decision Making 23(2): 112-121.
Heckerling, P. S., B. S. Gerber, et al. (2003). "Entering the black box of neural networks - A descriptive study of clinical variables predicting community-acquired pneumonia." Methods of Information in Medicine 42(3): 287-296.
Heckert, T. M. "Effect of Base Rate on the Applicability of Neural Network Analysis for Classification." DAI, , 56, no. 08B, (1994): 4634.
Heda, P. K. "A Comparative Study of the Formulation Requirements of Dosator and Dosing Disc Encapsulators, Simulation of Plug Formation, and Creation of Rules for an Expert System for Formulation Design (Neural Networks, Capsule Formation)." DAI, , 60, no. 01B, (1998): 0193.
Hedgepeth, W. O. (1995). "Comparing traditional statistical models with neural network models: The case of the relation of human performance factors to the outcomes of military combat." DAI 57(03B): 2059.
Hefferlin, R., W. B. Davis, et al. "An atlas of forecasted molecular data. 1. Internuclear separations of main-group and transition-metal neutral gas-phase diatomic molecules in the ground state." Journal Of Chemical Information And Computer Sciences 43(2): 622-628.
Hegazy, T. M. "Integrated Bid Preparation with Emphases on Risk Assessment Using Neural Networks (Construction Industry)." DAI, , 56, no. 07A, (1994): 2764.
Hegazy, T. M. "Integrated Bid Preparation with Emphases on Risk Assessment Using Neural Networks." DAI, , 55, no. 05B, (1993): 1946.
Hegazy, T., S. Tully, et al. (1998). "A neural network approach for predicting the structural behavior of concrete slabs." Canadian Journal of Civil Engineering 25(4): 668-677.
Heggen, R. J. (1995). "Neural Networks for River Flow Prediction - Discussion." Journal of Computing in Civil Engineering 9(4): 293-293.
Heider, D. "Model-Based Control Incorporating Neural Network Optimization of the Automated Thermoplastic Tow-Placement Process (Cerebellar Model Arithmetic Controller)." DAI, , 60, no. 02B, (1998): 0713.
Heider, D., M. J. Piovoso, et al. (1998). "A Predictive Neural Network Controller for the Thermoplastic Composite Tow-placement System." Annual Technical Conference and Exhibition 2(Conf 56): 2366.
Heim, E. S. (1995). A neural network approach to the prediction and confidence assignation of nonlinear time series classifications: viii, 54 p.
Helle, H. B., A. Bhatt, et al. (2001). "Porosity and permeability prediction from wireline logs using artificial neural networks: a North Sea case study." Geophysical Prospecting 49(4): 431-444.
Helps, C. R. G. and B. T. Griffen (1994). "Predicting Mold-Cavity Temperatures with an Artificial Neural-Network." Plastics Engineering 50(10): 25-27.
Hemmateenejad, B., M. A. Safarpour, et al. (2003). "Application of ab initio theory for the prediction of acidity constants of some 1-hydroxy-9,10-anthraquinone derivatives using genetic neural network." Journal of Molecular Structure: THEOCHEM 635(1-3): 183-190.
Henderson, C. E., W. D. Potter, et al. (2000). "Predicting aflatoxin contamination in peanuts: A genetic algorithm/neural network approach." Applied Intelligence 12(3): 183-192.
Henninger, A. E. (2001). "Neural network based movement models to improve the predictive utility of entity state synchronization methods for distributed simulations." DAI 62(01B): 520.
Hensher, D. A. and T. T. Ton (1998). A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice. Sydney, N.S.W., Institute of Transport Studies Australian Key Centre in Transport Management the University of Sydney and Monash University.
Hensher, D. A., T. Ton, et al. (1998). A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice. Sydney, N.S.W., University of Sydney Institute of Transport Studies.
Hensher, D. A. and T. T. Ton (2000). A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice.
Hensher, D. A. and T. T. Ton (2000). "A comparison of the predictive potential of artificial neural networks and nested legit models for commuter mode choice." Transportation Research Part E-Logistics and Transportation Review 36(3): 155-172.
Hensher, D. A. and T. T. Ton (2000). "A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice." Transportation Research Part E: Logistics and Transportation Review 36(3): 155-172.
Hentea, M. "Architecture and Design Issues in a Hybrid Knowledge-Based Expert System for Intelligent Quality Control (Neural Network)." DAI, , 58, no. 12B, (1997): 6664.
Heo, J.-S. and D.-S. Kim (2004). "A new method of ozone forecasting using fuzzy expert and neural network systems." The Science Of The Total Environment 325(1-3): 221-237.
Heravi, S., D. R. Osborn, et al. "Linear versus neural network forecasts for European industrial production series." International Journal of Forecasting In Press, Corrected Proof.
Heravi, S., D. R. Osborn, et al. (2003). "Linear versus neural network forecasts for European industrial production series." International Journal of Forecasting In Press, Corrected Proof.
Herbert, T. and Ohio state univ columbus dept of mechanical engineering. (1996). Flow Control Using Neural Networks. United States, Ohio state univ columbus dept of mechanical engineering.
Herbrich, R., M. Keilbach, et al. (2000). Neural Networks in Economics - Background, Applications and New Developments. Advances in Computatinal Economics: Computational Techniques for Modelling Learning in Economics. T. Brenner, Kluwer Academics. 11: 169-196.
Hering, J. A., P. R. Innocent, et al. (2003). "Neuro-fuzzy structural classification of proteins for improved protein secondary structure prediction." Proteomics 3(8): 1464-1475.
Herman, R. A. and D. I. Min (1997). "Artificial neural network prediction of cyclosporine dose in liver transplant patients." Clinical Pharmacology & Therapeutics 61(2): PI81-PI81.
Herman, R. A., S. Noormohamed, et al. (1999). "Comparison of a neural network approach with five traditional methods for predicting creatinine clearance in patients with human immunodeficiency virus infection." Pharmacotherapy 19(6): 734-740.
Hernandez, J. V., T. Tajima, et al. (1993). "Neural-Net Forecasting for Geomagnetic-Activity." Geophysical Research Letters 20(23): 2707-2710.
Hernandez, J. V., A. Vannucci, et al. (1996). "Neural network prediction of some classes of tokamak disruptions." Nuclear Fusion 36(8): 1009-1017.
Hernandez, B. D. (2001). "Supplements to the HEC-1 hydrologic model using the Monte Carlo method and artificial neural network (Oklahoma)." DAI 63(01B): 402.
Hernandez Aguirre, A. (2000). "Sample complexity and generalization in feedforward neural networks." DAI 61(04B): 2035.
Hersh, L. A. (1997). Using neural networks for the prediction of post-operative gait patterns of children with cerebral palsy undergoing rectus femoris transfer surgery: viii, 48 leaves.
Hersh, L. A., J. Q. Sun, et al. (1997). "The Prediction of Post-Operative Gait Patterns Using Neural Networks." Gait & Posture 5(2): 151.
Hervas, C., G. Zurera, et al. (2001). "Optimization of computational neural network for its application in the prediction of microbial growth in foods." Food Science and Technology International 7(2): 159-163.
Hesselroth, T. D. "Neural Networks for Signal Processing and Control (Robotics)." DAI, , 55, no. 12B, (1994): 5218.
Hidalgo, A. Z., O. L. P. Velez, et al. (2002). "Drainmod and an approach based on an artificial neural network for predicting water table fluctuations." Ingenieria Hidraulica En Mexico 17(2): 65-75.
Highsmith, A. L. and S. Keshav (1997). "Using measured damage parameters to predict the residual strength of impacted composites: A neural network approach." Journal of Composites Technology & Research 19(4): 195-201.
Higuerey, E. E. "Neural Network Modeling of Process Parameters for Electrical Discharge Machining." DAI, , 59, no. 04B, (1998): 1810.
Hill, E. V., P. L. Israel, et al. (1993). "Neural-Network Prediction of Aluminum-Lithium Weld Strengths from Acoustic-Emission Amplitude Data." Materials Evaluation 51(9): 1040-&.
Hill, E. v. K., P. L. Israel, et al. (1993). "Neural Network Prediction of Aluminum-Lithium Weld Strengths from Acoustic Emission Amplitude Data." Materials evaluation 51(9): 1040.
Hill, T., L. Marquez, et al. (1994). "Artificial Neural-Network Models for Forecasting and Decision-Making." International Journal of Forecasting 10(1): 5-15.
Hill, T., L. Marquez, et al. (1994). "Artificial neural network models for forecasting and decision making." International Journal of Forecasting 10(1): 5-15.
Hill, T., M. Oconnor, et al. (1996). "Neural network models for time series forecasts." Management Science 42(7): 1082-1092.
Hill, E. V., J. L. Walker, et al. (1996). "Burst pressure prediction in graphite/epoxy pressure vessels using neural networks and acoustic emission amplitude data." Materials Evaluation 54(6): 744-&.
Hill, E. K., J. L. Walker, et al. (1997). "Burst pressure prediction in graphite/epoxy pressure vessels using neural networks and acoustic emission amplitude data." NDT & E International 30(5): 325.
Hill, B. D., S. D. M. Jones, et al. (2000). "Neural network modeling of carcass measurements to predict beef tenderness." Canadian Journal of Animal Science 80(2): 311-318.
Hill, B. D., S. M. McGinn, et al. (2002). "Neural network models to predict the maturity of spring wheat in western Canada." Canadian Journal of Plant Science 82(1): 7-13.
Hilmer (1994). Aktienkursprognose mit statistischen Verfahren und Neuronalen Netzen. Finanzmarktanwendungen neuronaler Netze und ökonometrischer Verfahren. G. Bol, G. Nakhaeizadeh and K.-H. Vollmer. Heidelberg: 149-183.
Hino, J., C. X. Su, et al. (2001). "A study on chatter prediction in high-speed end milling process by fuzzy neural network." Jsme International Journal Series C-Mechanical Systems Machine Elements and Manufacturing 44(3): 825-831.
Hippert, H. S., C. E. Pedreira, et al. (2001). "Neural networks for short-term load forecasting: a review and evaluation." Power Systems, IEEE Transactions on 16(1): 44-55.
Hiramatsu, K., S. Shikasho, et al. (1999). "Nonlinear prediction of river water-stages by feedback artificial neural network." Journal of the Faculty of Agriculture Kyushu University 44(1-2): 137-147.
Hirankarn, S. (2000). "Analysis of clinical pharmacokinetic data: NONMEM(c), WinBUGS(c), and artificial neural networks." DAI 61(12B): 6416.
Hirshberg, A., M. J. Wall, Jr, et al. (2002). "Bullet trajectory predicts the need for damage control: an artificial neural network model." The Journal Of Trauma 52(5): 852-858.
Hirst, J. D. and M. J. E. Sternberg (1991). "Prediction of Atp-Binding Motifs - a Comparison of a Perceptron-Type Neural Network and a Consensus Sequence Method." Protein Engineering 4(6): 615-623.
Hirst, J. D. and M. J. E. Sternberg (1992). "Prediction of Structural and Functional Features of Protein and Nucleic-Acid Sequences by Artificial Neural Networks." Biochemistry 31(32): 7211-7218.
Hirst, J. D. and M. J. E. Sternberg (1993). "Prediction of Atp-Binding Motifs - a Comparison of a Perceptron-Type Neural-Network and a Consensus Sequence Method (Vol 4, Pg 615, 1991)." Protein Engineering 6(5): 549-554.
Ho, K. L., Y.-Y. Hsu, et al. (1992). "Short term load forecasting using a multilayer neural network with an adaptive learning algorithm." Power Systems, IEEE Transactions on 7(1): 141-149.
Ho, K. L., Y. Y. Hsu, et al. (1992). "Short-Term Load Forecasting Using a Multilayer Neural Network with an Adaptive Learning Algorithm." Ieee Transactions on Power Systems 7(1): 141-149.
Ho, S. L., M. Xie, et al. (2002). "A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction." Computers & Industrial Engineering 42(2-4): 371-375.
Ho, S.-Y., K.-C. Lee, et al. (2002). "Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system." International Journal of Machine Tools and Manufacture 42(13): 1441-1446.
Hobbs, B. F., U. Helman, et al. (1998). "Artificial neural networks for short-term energy forecasting: Accuracy and economic value." Neurocomputing 23(1-3): 71-84.
Hobbs, B. F., U. Helman, et al. (1998). "Artificial neural networks for short-term energy forecasting: Accuracy and economic value." Neurocomputing 23(1-3): 71-84.
Hobeika, A. G. (1995). "Neural-Network Models for Traffic Control and Congestion Prediction." Ivhs Journal 2(3): 311-312.
Hodgson, P. D., L. X. Kong, et al. (1999). "The prediction of the hot strength in steels with an integrated phenomenological and artificial neural network model." Journal of Materials Processing Technology 87(1-3): 131-138.
Hoffman, D. C. "Artificial Neural Network Prediction of Alluvial River Geometry." MAI, , 34, no. 01, (1995): 0388.
Hoffman, M. E., United States. Naval Air Systems Command., et al. (1992). A neural network prototype for predicting F-14B strains at the B.L. 10 longeron. Washington, D.C., Naval Air Systems Command Dept. of the Navy.
Hoffman, D. C. (1995). Artificial neural network prediction of alluvial river geometry: viii, 164 leaves.
Hoffman, P. C. (1995). "Prediction of ultimate shear strength of deep beams using neural networks." Aci Structural Journal 92(6): 785-785.
Hofman, M. and P. Thonart (2001). Engineering and manufacturing for biotechnology. Dordrecht ; Boston ; London, Kluwer Academic Publishers.
Hogan, D. B. "Modeling Construction Cost Performance: A Comprehensive Approach Using Statistical, Artificial Neural Network and Simulation Methods (Monte Carlo)." DAI, , 59, no. 07B, (1998): 3595.
Holbrook, S. R., I. Dubchak, et al. (1993). "Probe - a Computer-Program Employing an Integrated Neural-Network Approach to Protein-Structure Prediction." Biotechniques 14(6): 984-989.
Holbrook, S. R., I. Dubchak, et al. (1993). "A Computer-Program for Protein-Structure Prediction by Artificial Neural Networks." Faseb Journal 7(7): A1284-A1284.
Holens, G. A. "Forecasting and Selling Futures Using Arima Models and a Neural Network." MAI, , 36, no. 02, (1997): 0374.
Holens, G. A. (1998). Forecasting and selling futures using ARIMA models and a neural network. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Hollekamp, M. (2001). Benchmarktests für Neuronale Netze. Fachbereich Mathematik und Informatik. Münster, Westfälische Wilhelms-Universität: 1-85.
Holley, L. H. and M. Karplus (1989). "Protein Secondary Structure Prediction with a Neural Network." Proceedings of the National Academy of Sciences of the United States of America 86(1): 152-156.
Holley, L. H. and M. Karplus (1991). "Neural Networks for Protein-Structure Prediction." Methods in Enzymology 202: 204-224.
Holly, S. and International Federation of Automatic Control. (2000). Computation in economics, finance, and engineering : economic systems : a proceedings volume from the IFAC Symposium, Cambridge, UK, 29 June - 1 July 1998. Oxford, UK Tarrytown, N.Y., Published for the International Federation of Automatic Control by Pergamon.
Homer, J., S. C. Generalis, et al. (1999). "Artificial neural networks for the prediction of liquid viscosity, density, heat of vaporization, boiling point and Pitzer's acentric factor - Part I. Hydrocarbons." Physical Chemistry Chemical Physics 1(17): 4075-4081.
Honecker, A. W. (2001). Anomaly intrusion detection : a distributed ARTMAP neural network approach: 41 leaves.
Honeyman, M. C., V. Brusic, et al. (1998). "Neural network-based prediction of candidate T-cell epitopes." Nature Biotechnology 16(10): 966-969.
Hong, Y. Y. and C.-Y. Hsiao (2001). Locational marginal price forecasting in deregulated electric markets using a recurrent neural network. IEEE Power Engineering Society Winter Meeting.
Hong, Y.-Y. and C.-Y. Hsiao (2002). Locational marginal price forecasting in deregulated electricity markets using artificial intelligence. IEEE Proceedings - Generation, Transmission and Distribution.
Hong, L. E., M. Tagamets, et al. (2003). "Neural mechanism of predictive smooth pursuit abnormalities in schizophrenia." Schizophrenia Research 60(1): 222-222.
Hoo, K. A., E. D. Sinzinger, et al. (2002). "Improvements in the predictive capability of neural networks." Journal of Process Control 12(1): 193-202.
Horimoto, Y., T. Durance, et al. (1995). "Neural Networks Vs Principal Component Regression for Prediction of Wheat-Flour Loaf Volume in Baking Tests." Journal of Food Science 60(3): 429-433.
Horn, J. F., A. J. Calise, et al. (2001). "Flight envelope cueing on a tilt-rotor aircraft using neural network limit prediction." Journal of the American Helicopter Society 46(1): 23-31.
Horne, V. H. (2000). "The use of artificial neural networks for the prediction of pollutant emissions from aeroengines." MAI 40(05): 1291.
Hornik, K., M. Stinchcombe, et al. (1989). "Multilayer Feedforward Networks are Universal Approximators." Neural Networks 2(5): 359 - 366.
Horton, P. B. and M. Kanehisa (1992). "An Assessment of Neural Network and Statistical Approaches for Prediction of Escherichia-Coli Promoter Sites." Nucleic Acids Research 20(16): 4331-4338.
Horwitz, B. and M. A. Tagamets (1999). "Predicting human functional maps with neural net modeling." Human Brain Mapping 8(2-3): 137-142.
Hoskins, D. A. "Neural Network Based Model Reference Adaptive Control (Adaptive Control)." DAI, , 52, no. 02B, (1990): 0944.
Hotchkiss, J. R., A. F. Broccard, et al. (2003). "Artificial neural network prediction of ventilator-induced lung edema formation." Critical Care Medicine 31(8): 2250-2550.
Hou, S. (1994). Nebraska electric load forecasting using artificial neural networks with C++: v, 108 leaves.
Hruschka, H. (1993). "Determining market response functions by neural network modeling: A comparison to econometric techniques." European Journal of Operational Research: 27-35.
Hsiao, C.-H. "The Application of Fuzzy Logic and Neural Networks to Freeway Incident Detection." DAI, , 56, no. 02B, (1994): 0978.
Hsieh, W. W. and B. Y. Tang (1998). "Applying neural network models to prediction and data analysis in meteorology and oceanography." Bulletin of the American Meteorological Society 79(9): 1855-1870.
Hsieh, B. B.-N., C. L. Bartos, et al. (2000). Riverflow/river stage prediction for military applications using artificial neural network modeling. Vicksburg, Miss., US Army Corps of Engineers Engineer Research and Development Center.
Hsieh, C. H. (2002). "Grey neural network and its application to short term load forecasting problem." Ieice Transactions on Information and Systems E85D(5): 897-902.
Hsu, C.-C. C. "Chaotic Neural Network Model and Vlsi Implementation." DAI, , 56, no. 08B, (1995): 4496.
Hsu, Y.-Y. and C.-C. Yang (1991). "Design of artificial neural networks for short-term load forecasting. II. Multilayer feedforward networks for peak load and valley load forecasting." Generation, Transmission and Distribution [see also IEE Proceedings-Generation, Transmission and Distribution], IEE Proceedings C 138(5): 414-418.
Hsu, Y. Y. and C. C. Yang (1991). "Design of Artificial Neural Networks for Short-Term Load Forecasting .1. Self-Organizing Feature Maps for Day Type Identification." Iee Proceedings-C Generation Transmission and Distribution 138(5): 407-413.
Hsu, Y. Y. and C. C. Yang (1991). "Design of Artificial Neural Networks for Short-Term Load Forecasting .2. Multilayer Feedforward Networks for Peak Load and Valley Load Forecasting." Iee Proceedings-C Generation Transmission and Distribution 138(5): 414-418.
Hsu, W., L. S. Hsu, et al. (1992). A neural network architecture for prediction. West Lafayette, Ind., Purdue University School of Electrical Engineering.
Hsu, W., L. S. Hsu, et al. (1993). A ClusNet architecture for prediction. Neural Networks, 1993., IEEE International Conference on.
Hsu, P. S.-C. (1995). The role of economic indicators in the stock market forecasting : a neural network approach: v, 56 leaves.
Hsu, K. H. and S. M. Durand (2000). "PAPERS - Modeling - Prediction of Neural Excitation During Magnetic Stimulation Using Passive Cable Models." IEEE transactions on bio-medical engineering 47(4): 9.
Hsu, C. C. and C. Y. Chen (2003). "Regional load forecasting in Taiwan - applications of artificial neural networks." Energy Conversion and Management 44(12): 1941-1949.
Hsu, C.-C. and C.-Y. Chen (2003). "Applications of improved grey prediction model for power demand forecasting." Energy Conversion and Management 44(14): 2241-2249.
Hsu, C.-C. and C.-Y. Chen (2003). "Regional load forecasting in Taiwan--applications of artificial neural networks." Energy Conversion and Management 44(12): 1941-1949.
Hu, Q. and D. B. Hertz (1994). "An inappropriate use of neural networks for forecasting." Neural Networks 7(1): 203.
Hu, M. Y., G. Q. Zhang, et al. (1999). "A cross-validation analysis of neural network out-of-sample performance in exchange rate forecasting." Decision Sciences 30(1): 197-216.
Hu, M. Y. and C. Tsoukalas (1999). "Combining conditional volatility forecasts using neural networks: an application to the EMS exchange rates." Journal of International Financial Markets, Institutions and Money 9(4): 407-422.
Hu, T. S., K. C. Lam, et al. (2001). "River flow time series prediction with a range-dependent neural network." Hydrological Sciences Journal-Journal Des Sciences Hydrologiques 46(5): 729-745.
Hua, A. (1999). "Comparative Sequencing of Human and Mouse Syntenic Regions from Dgcr and Mnd2 (Digeorge Syndrome, Sequence Comparison, Geneligner, Motor Neuron Disease)." DAI 60(05B): 2112.
Hua, B. and K. P. Lam (2000). Analysis and prediction for the growth enterprise market (GEM). Proceedings of the 2000 IEEE International Conference on Management of Innovation and Technology, Singapore.
Huafang, N. and D. Hunkeler (1997). "Prediction of copolymer composition drift using artificial neural networks: copolymerization of acrylamide with quaternary ammonium cationic monomers." Polymer 38(3): 667-675.
Huang, C.-S. "Neural Networks in Financial Distress Prediction: An Application to the Life Insurance Industry." DAI, , 54, no. 04A, (1993): 1487.
Huang, H.-H. "Transputer-Based Machine Fault Diagnostics (Neural Networks, Fuzzy Logic)." DAI, , 55, no. 03B, (1993): 1113.
Huang, T.-C. "Time Series Forecasting Using Neural Networks (Back Propagation)." DAI, , 58, no. 08B, (1997): 4389.
Huang, Y. "Snack Food Frying Process Input-Output Modeling and Control through Artificial Neural Networks." DAI, , 56, no. 10B, (1995): 5244.
Huang, W., C. Murray, et al. "Development of a regional neural network for coastal water level predictions." Ocean Engineering In Press, Corrected Proof.
Huang, C.-S. (1993). Neural networks in financial distress prediction : an application to the life insurance industry: xvi, 197 leaves.
Huang, B. and A. S. Mujumdar (1993). "Use of Neural Network to Predict Industrial Dryer Performance." Drying Technology 11(3): 525-541.
Huang, X. P. and TRW Inc. Transportation Systems and IVHS Programs. (1994). A neural network based traffic delay prediction model for freeway lane closure.
Huang, C.-S., R. E. Dorsey, et al. (1994). "Life Insurer Financial Distress Prediction: A Neural Network Model." Journal of insurance regulation 13(2): 131.
Huang, X. P. and G. Xu (1996). A neural network based approach for predicting network traffic conditions.
Huang, Z. H., J. Shimeld, et al. (1996). "Permeability prediction with artificial neural network modeling in the Venture gas field, offshore eastern Canada." Geophysics 61(2): 422-436.
Huang, T.-C. (1997). Time series forecasting using neural networks: xi, 214 leaves.
Huang, Y. and R. K. Moore (1998). Roughness level probability prediction using artificial neural networks.
Huang, D. P. and A. R. van Cauwenberghe (1998). "Neural-network-based multiple feedback long-range predictive control." Neurocomputing 18(1-3): 127-139.
Huang, Y., R. E. Lacey, et al. (1998). "Neural network prediction modeling based on elastographic textural features for meat quality evaluation." Transactions of the Asae 41(4): 1173-1179.
Huang, Y., A. D. Whittaker, et al. (1998). "Neural network prediction modeling for a continuous, snack food frying process." Transactions of the Asae 41(5): 1511-1517.
Huang, C. L., Y. H. Huang, et al. (1999). "The construction of production performance prediction system for semiconductor manufacturing with artificial neural networks." International Journal of Production Research 37(6): 1387-1402.
Huang, Y. (1999). "Application of artificial neural networks to predictions of aggregate quality parameters." International Journal of Rock Mechanics and Mining Sciences 36(4): 551-561.
Huang, J. Q., F. L. Lewis, et al. (2000). "A neural net predictive control for telerobots with time delay." Journal of Intelligent & Robotic Systems 29(1): 1-25.
Huang, J., S. F. Zhou, et al. (2000). "Column efficiency prediction of two dimensional chromatography by artificial neural network." Se Pu = Chinese Journal Of Chromatography / Zhongguo Hua Xue Hui 18(1): 1-4.
Huang, C.-M. and H.-T. Yang (2001). "Evolving wavelet-based networks for short-term load forecasting." Generation, Transmission and Distribution, IEE Proceedings- 148(3): 222-228.
Huang, P.-T. B. (2002). A neural networks-based in-process adaptive surface roughness control (NN-IASRC) system in end-milling operations: 147 leaves.
Huang, H. A. and C. M. Liao (2002). "Prediction of parison swell in plastics extrusion blow molding using a neural network method." Polymer Testing 21(7): 745-749.
Huang, H. C., R. C. Hwang, et al. (2002). "A new artificial intelligent peak power load forecaster based on non-fixed neural networks." International Journal of Electrical Power & Energy Systems 24(3): 245-250.
Huang, P.-T. B. (2002). "A neural networks-based in-process adaptive surface roughness control (NN-IASRC) system in end-milling operations." DAI 63(04B): 2011.
Huang, Y. and P. L. Blackwell (2002). "Prediction of mechanical properties of superplastic lnconel*718 using artificial neural networks." Materials Science and Technology 18(10): 1104-1108.
Huang, H.-C., R.-C. Hwang, et al. (2002). "A new artificial intelligent peak power load forecaster based on non-fixed neural networks." International Journal of Electrical Power & Energy Systems 24(3): 245-250.
Huang, H.-X. and C.-M. Liao (2002). "Prediction of parison swell in plastics extrusion blow molding using a neural network method." Polymer Testing 21(7): 745-749.
Huang, C. Z., L. Zhang, et al. (2002). "A study on the prediction of the mechanical properties of a ceramic tool based on an artificial neural network." Journal of Materials Processing Technology 129(1-3): 399-402.
Huang, B. and J. C. Chen (2003). "An in-process neural network-based surface roughness prediction (INN-SRP) system using a dynamometer in end milling operations." International Journal of Advanced Manufacturing Technology 21(5): 339-347.
Huang, J. Q. and F. L. Lewis (2003). "Neural-network predictive control for nonlinear dynamic systems with time delay." Ieee Transactions on Neural Networks 14(2): 377-389.
Huang, L., P. Yu, et al. (2003). "Prediction of response to incision using the mutual information of electroencephalograms during anaesthesia." Medical Engineering & Physics 25(4): 321-327.
Huang, Y. F., G. H. Huang, et al. (2003). "Development of an artificial neural network model for predicting minimum miscibility pressure in CO2 flooding." Journal of Petroleum Science and Engineering 37(1-2): 83-95.
Hudson, D. L., M. E. Cohen, et al. (1997). "Clinical usefulness of a neural network model for evaluation of prognostic factors in CHF in predicting mortality." Journal of the American College of Cardiology 29(2): 15118-15118.
Hugen, D. L. (2001). Electric power demand forecasting using wavelets and artificial neural networks: 60 leaves.
Huisken, G. and A. Coffa (2000). Short-term congestion prediction : comparing time series with neural networks.
Hung, L.-H. and R. Samudrala (2003). "PROTINFO: Secondary and tertiary protein structure prediction." Nucleic Acids Research 31(13): 3296-3299.
Hunt, K. J., G. Irwin, et al. (1995). Neural network engineering in dynamic control systems. Berlin ; New York, Springer.
Hunt, L. D. (2000). Comparison of neural network and logistic regression models for predicting the academic success of college freshmen: xii, 136 leaves.
Hunt, L. D. (2000). "Comparison of neural network and logistic regression models for predicting the academic success of college freshmen." DAI 61(10A): 3917.
Hunt, H. W., J. M. Antle, et al. (2003). "False determinations of chaos in short noisy time series." Physica D: Nonlinear Phenomena 180(1-2): 115-127.
Hunter, L. (1993). Artificial intelligence and molecular biology. Menlo Park, Calif., AAAI Press ; Cambridge.
Hunter, A., L. Kennedy, et al. (2000). "Application of neural networks and sensitivity analysis to improved prediction of trauma survival." Computer Methods And Programs In Biomedicine 62(1): 11-19.
Hurlbert, M. S. (1999). "Hnt Neurons: A Human Neuron Alternative to Fetal Tissue." DAI 60(06B): 2542.
Husain, S., K. S. Devi, et al. (1996). "Characterization and identification of edible oil blends and prediction of the composition by artificial neural networks - A case study." Chemometrics and Intelligent Laboratory Systems 35(1): 117-126.
Husain, S., K. S. Devi, et al. (1996). "Characterization and identification of edible oil blends and prediction of the composition by artificial neural networks -- A case study." Chemometrics and Intelligent Laboratory Systems 35(1): 117-126.
Huse, S. M. "Path Analysis Using a Predator-Prey Neural Network Paradigm." MAI, , 29, no. 02, (1990): 0290.
Huse, G. and H. Gjosaeter (1999). "A neural network approach for predicting stock abundance of the Barents Sea capelin." Sarsia 84(5-6): 457-464.
Huse, G. and G. Ottersen (2003). "Forecasting recruitment and stock biomass of Northeast Arctic cod using neural networks." Scientia Marina 67: 325-335.
Husken, M. and P. Stagge (2003). "Recurrent neural networks for time series classification." Neurocomputing 50: 223-235.
Husmeier, D. and J. G. Taylor (1997). "Predicting Conditional Probability Densities of Stationary Stochastic Time Series." Neural Networks 10(3): 479-497.
Husmeier, D. and J. G. Taylor (1998). "Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL." Neural Networks 11(1): 89-116.
Husmeier, D. (1999). Neural networks for conditional probability estimation : forecasting beyond point predictions. London ; New York, Springer.
Hussain, M. A., M. S. Rahman, et al. (2002). "Prediction of pores formation (porosity) in foods during drying: generic models by the use of hybrid neural network." Journal of Food Engineering 51(3): 239-248.
Hussain, M. A., M. Shafiur Rahman, et al. (2002). "Prediction of pores formation (porosity) in foods during drying: generic models by the use of hybrid neural network." Journal of Food Engineering 51(3): 239-248.
Huuskonen, J., M. Salo, et al. "Aqueous solubility prediction of drugs based on molecular topology and neural network modeling." Journal Of Chemical Information And Computer Sciences 38(3): 450-456.
Huuskonen, J., M. Salo, et al. (1998). "Aqueous solubility prediction of drugs based on molecular topology and neural network modeling." Journal of Chemical Information and Computer Sciences 38(3): 450-456.
Huuskonen, J. (2003). "Prediction of soil sorption coefficient of organic pesticides from the atom-type electrotopological state indices." Environmental Toxicology And Chemistry / SETAC 22(4): 816-820.
Huuskonen, J. (2003). "QSAR modeling with the electrotopological state indices: predicting the toxicity of organic chemicals." Chemosphere 50(7): 949-953.
Hwang, R.-C. (1993). Hourly load forecasting by neural networks: xvii, 163 leaves.
Hwang, J. K. and W. F. Liao (1995). "Side-Chain Prediction by Neural Networks and Simulated Annealing Optimization." Protein Engineering 8(4): 363-370.
Hwang, J. T. G. and A. A. Ding (1997). "Prediction intervals for artificial neural networks." Journal of the American Statistical Association 92(438): 748-757.
Hwang, K. (2000). 3-D defect profile reconstruction from magnetic flux leakage signatures using wavelet basis function neural networks: 118 leaves.
Hwang, K. (2000). "3-D defect profile reconstruction from magnetic flux leakage signatures using wavelet basis function neural networks." DAI 61(02B): 993.
Hwang, S. (2002). "Neural network model of thalamocortical dynamics, adaptive boundary-surface alignment, and the McCollough effect." DAI 62(12B): 5562.
Hwarng, H. B. (2001). "Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures." Omega 29(3): 273-289.
Hwarng, H. B. and H. T. Ang (2001). "A simple neural network for ARMA(p,q) time series." Omega 29(4): 319-333.
Hwu, Y. J., Y. T. Pan, et al. (1996). "A comparative study of artificial neural networks for the prediction of constitutive behaviour of HSLA and carbon steels." Steel Research 67(2): 59-66.
Hyvarinen, A. and E. Bingham (2003). "Connection between multilayer perceptrons and regression using independent component analysis." Neurocomputing 50: 211-222.
Ibrahim, T. I. (2000). Neural nets based predictive prefetching approach to tolerate WWW latency: v, 35 leaves.
IEEE Educational Activities Board. and IEEE. Neural Networks Council. (1992). Learning, recognition, and prediction by self-organizing neural networks. Piscataway, NJ, IEEE.
Iizaka, T., T. Matsui, et al. (2002). A novel daily peak load forecasting method using analyzable structured neural network. Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES.
Ikonen, M. E.-V. "Algorithms for Process Modelling Using Fuzzy Neural Networks. A Distributed Logic Processor Approach." DAI, , 58, no. 04C, (1997): 1377.
Ikonomopoulos, A. "Virtual Measurements Using Neural Networks and Fuzzy Logic for Complex System Monitoring (Nuclear Reactors)." DAI, , 54, no. 03B, (1992): 1637.
Illindala, U. K. (1999). Using neural networks to predict blood type from spectrophotometer readings: vii, 61 leaves.
Ilumoka, A. (2001). "SPECIAL SECTION ON THE NINTH TOPICAL MEETING ON ELECTRICAL PERFORMANCE OF ELECTRONIC PACKAGING - Efficient and Accurate Crosstalk Prediction via Neural Net-Based Topological Decomposition of 3-D Interconnect." IEEE transactions on advanced packaging : a publication of the IEEE Components, Packaging, and Manufacturing Technology Society and the Lasers and Electro Optics Society 24(3): 9.
Ilumoka, A. A. (2001). "Efficient and accurate crosstalk prediction via neural net-based topological decomposition of 3-D interconnect." Ieee Transactions on Advanced Packaging 24(3): 268-276.
Imrie, C. E., S. Durucan, et al. (2000). "River flow prediction using artificial neural networks: generalisation beyond the calibration range." Journal of Hydrology 233(1-4): 138-153.
Inamdar, M., P. P. Date, et al. (2000). "Development of an artificial neural network to predict springback in air vee bending." International Journal of Advanced Manufacturing Technology 16(5): 376-381.
Inamdar, M. V., P. P. Date, et al. (2000). "Studies on the prediction of springback in air vee bending of metallic sheets using an artificial neural network." Journal of Materials Processing Technology 108(1): 45-54.
Indro, D. C., C. X. Jiang, et al. (1999). "Predicting mutual fund performance using artificial neural networks." Omega 27(3): 373-380.
Ingram, M. R. "An Assessment of Three Neural Network Applications for an Urban Stormwater Pond in Kingston Township." MAI, , 35, no. 03, (1996): 0856.
Inoue, H., Y. Fukunaga, et al. (2001). Efficient hybrid neural network for chaotic time series prediction. Artificial Neural Networks-Icann 2001, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2130: 712-718.
Insa, G., J. M. Sablayrolles, et al. (1995). "Alcoholic Fermentation under Enological Conditions - Use of a Combination of Data-Analysis and Neural Networks to Predict Sluggish and Stuck Fermentations." Bioprocess Engineering 13(4): 171-176.
Institution of Electrical Engineers. Electronics Division., Institute of Electrical and Electronics Engineers. United Kingdom and Republic of Ireland Section., et al. (1996). Third International Conference on Computation in Electromagnetics : 10-12 April 1996. London, IEE.
Inui, T., C. Kato, et al. (2000). "Neural networks involved in action imitation and prediction learning of a sequence of actions." International Journal of Psychology 35(3-4): 288-288.
Ioannidis, J. P. A., J. J. Goedert, et al. (1999). "Comparison of viral load and human leukocyte antigen statistical and neural network predictive models for the rate of HIV-1 disease progression across two cohorts of homosexual men." Journal of Acquired Immune Deficiency Syndromes and Human Retrovirology 20(2): 129-136.
Ioannidis, J. P. A., J. J. Goedert, et al. (1999). "CLINICAL SCIENCE - Comparison of Viral Load and Human Leukocyte Antigen Statistical and Neural Network Predictive Models for the Rate of HIV-1 Disease Progression Across Two Cohorts of Homosexual Men." Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association 20(2): 8.
Ioannidis, J. P., J. J. Goedert, et al. (1999). "Comparison of viral load and human leukocyte antigen statistical and neural network predictive models for the rate of HIV-1 disease progression across two cohorts of homosexual men." Journal Of Acquired Immune Deficiency Syndromes And Human Retrovirology: Official Publication Of The International Retrovirology Association 20(2): 129-136.
Ioerger, T. R. and J. C. Sacchettini (2002). "Automatic modeling of protein backbones in electron-density maps via prediction of Calpha coordinates." Acta Crystallographica. Section D, Biological Crystallography 58(12): 2043-2054.
Iranpour, R., W. Proskurowski, et al. (1998). "Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great Britain - Comment." Water Research 32(11): 3500-3501.
Iranpour, R., W. Proskurowski, et al. (1998). "Comment on "Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great Britain", by W J Walley and V N Fontama, Wat Res 32(3), 613-622." Water research 32(11): 3500.
Irudayaraj, J. (2001). Food processing operations modeling : design and analysis. New York, Marcel Dekker.
Isasi-Vinuela, P., J. M. Molina-Lopez, et al. (1997). Unsupervised neural network for forecasting alarms in hydroelectric power plant. Biological and Artificial Computation: From Neuroscience to Technology. Berlin 33, SPRINGER-VERLAG BERLIN. 1240: 1298-1306.
Ishida, T. and S. Tamura (1995). "Daily Electric-Load Forecasting Using Artificial Neural-Network." Electrical Engineering in Japan 115(6): 52-61.
Ishida, M., S. Hayashi, et al. (1996). "Prediction of dynamic state and control for specification change by neural network for continuous bulk polymerization of polystyrene." Kagaku Kogaku Ronbunshu 22(5): 1214-1221.
Ishikawa, M. and T. Moriyama (1996). "Prediction of time series by a structural learning of neural networks." Fuzzy Sets and Systems 82(2): 167-176.
Islam, S. M., S. M. Alalawi, et al. (1995). "Forecasting Monthly Electric-Load and Energy for a Fast-Growing Utility Using an Artificial Neural-Network." Electric Power Systems Research 34(1): 1-9.
Islam, S. M., S. M. Al-Alawi, et al. (1995). "Forecasting monthly electric load and energy for a fast growing utility using an artificial neural network." Electric Power Systems Research 34(1): 1-9.
Islam, S. M. (1996). "Forecasting monthly electric load and energy for a fast growing utility using an artificial neural network." Fuel and Energy Abstracts 37(1): 30.
Islamoglu, Y. (2003). "A new approach for the prediction of the heat transfer rate of the wire-on-tube type heat exchanger - use of an artificial neural network model." Applied Thermal Engineering 23(2): 243-249.
Islamoglu, Y. (2003). "A new approach for the prediction of the heat transfer rate of the wire-on-tube type heat exchanger--use of an artificial neural network model." Applied Thermal Engineering 23(2): 243-249.
Ismael, M. B., E. L. Eisenstein, et al. (1998). "A comparison of neural network models for the prediction of the cost of care for acute coronary syndrome patients." Proceedings / AMIA ... Annual Symposium. AMIA Symposium: 533-537.
Ismael, M. B. (1999). "Prediction of Mortality and in-Hospital Complications for Acute Myocardial Infarction Patients Using Artificial Neural Networks (Data Mining, Knowledge Discovery)." DAI 60(05B): 2231.
Ismail, M. B. and Duke University. Dept. of Biomedical Engineering. (1999). Prediction of mortality and in-hospital complications for acute myocardial infarction patients using artificial neural networks: xii, 162 leaves.
Iso, K.-i. and T. Watanabe (1991). "Speech Recognition Using Demi-Syllable Neural Prediction Model." Advances in neural information processing systems 3: 227-233.
Iso, K.-i. and T. Watanabe (1991). "Speaker-Independent Speech Recognition Using a Neural Prediction Model." Electronics and communications in Japan. Part 3, Fundamental electronic science 74(8): 22-30.
Isu, Y., U. Nagashima, et al. "Development of neural network simulator for structure--activity correlation of molecules (NECO). Prediction of endo/exo substitution of norbornane derivatives and of carcinogenic activity of PAHs from 13C-NMR shifts." Journal Of Chemical Information And Computer Sciences 36(2): 286-293.
Ivanciuc, O., J. P. Rabine, et al. (1996). "C-13 NMR chemical shift prediction of sp(2) carbon atoms in acyclic alkenes using neural networks." Journal of Chemical Information and Computer Sciences 36(4): 644-653.
Ivanciuc, O., J. P. Rabine, et al. (1997). "C-13 NMR chemical shift sum prediction for alkanes using neural networks." Computers & Chemistry 21(6): 437-443.
Ivanciuc, O., J.-P. Rabine, et al. (1997). "13C NMR chemical shift sum prediction for alkanes using neural networks." Computers & Chemistry 21(6): 437-443.
Ivanciuc, O. (1998). "Artificial neural networks applications. Part 5. Prediction of the solubility of C-60 in organic solvents." Revue Roumaine De Chimie 43(8): 775-783.
Ivanciuc, O. (1998). "Artificial neural networks applications. Part 9. MolNet prediction of alkane boiling points." Revue Roumaine De Chimie 43(9): 885-894.
Ivanciuc, O. (1999). "Artificial neural networks applications. Part 11. MolNet prediction of alkane densities." Revue Roumaine De Chimie 44(6): 619-631.
Ivanciuc, O. (1999). "Artificial neural networks applications. Part 10. MolNet prediction of alkane Gibbs energies." Revue Roumaine De Chimie 44(3): 299-309.
Ivanciuc, O. (1999). "The neural network MolNet prediction of alkane enthalpies." Analytica Chimica Acta 384(3): 271-284.
Ivanciuc, O. (2000). "Artificial neural networks applications. Part 12 - The prediction of alkane heat capacities with the MolNet neural network." Revue Roumaine De Chimie 45(4): 391-403.
Izenberg, S. D., M. D. Williams, et al. (1995). "A Neural Network Predicts the Emergency Room Disposition of Trauma Patients." Surgical forum 46: 2.
Izenberg, S. D., M. D. Williams, et al. (1997). "Prediction of trauma mortality using a neural network." The American Surgeon 63(3): 275-281.
Jabri, M. A. and X. Q. Li (1992). "Predicting the Number of Contacts and Dimensions of Full-Custom Integrated-Circuit Blocks Using Neural Network Techniques." Ieee Transactions on Neural Networks 3(1): 146-153.
Jackson, K. I., G. L. Gibby, et al. (1993). "Preliminary Evaluation of an Artificial Neural Network for Predicting Patient Outcome in Anesthesia." Anesthesia and Analgesia 76(2): S158-S158.
Jacob, S., P. Cunningham, et al. (2000). "Prediction of assisted reproduction treatment (ART) outcome using artificial neural networks." British Journal of Obstetrics and Gynaecology 107(6): 816-817.
Jacoboni, I., P. L. Martelli, et al. (2001). "Prediction of the transmembrane regions of beta-barrel membrane proteins with a neural network-based predictor." Protein Science: a Publication Of The Protein Society 10(4): 779-787.
Jacobs, A. L. "Patterns of Activity in the Vertebrate Retina: Prediction by a Computational Model and Subsequent Physiological Confirmation of a Novel Mechanism for Edge Extraction in the Retina (Cellular Neural Network, Ammbystoma Tigrinum)." DAI, , 60, no. 03B, (1998): 0972.
Jacobs, J. H. "The Synthesis of Superelements Using Neural Networks for the Prediction of Delamination Growth in Composite Materials (Fracture)." DAI, , 57, no. 06B, (1996): 3905.
Jacobs, J. H. (1996). The synthesis of superelements using neural networks for the prediction of delamination growth in composite materials: xi, 186 leaves.
Jacobs, J. H. (1996). "The synthesis of superelements using neural networks for the prediction of delamination growth in composite materials." DAI 57(06B): 3905.
Jacobs, A. L. (1998). "Patterns of Activity in the Vertebrate Retina: Prediction by a Computational Model and Subsequent Physiological Confirmation of a Novel Mechanism for Edge Extraction in the Retina (Cellular Neural Network, Ammbystoma Tigrinum)." DAI 60(03B): 122.
Jadid, M. N. and D. R. Fairbairn (1996). "Neural-network Applications in Predicting Moment-curvature Parameters from Experimental Data." Engineering Applications of Artificial Intelligence 9(3): 309-319.
Jaen-Oltra, J., T. Salabert-Salvador, et al. (2000). "Artificial neural network applied to prediction of fluorquinolone antibacterial activity by topological methods." Journal of Medicinal Chemistry 43(6): 1143-1148.
Jaen-Oltra, J., M. T. Salabert-Salvador, et al. (2000). "Artificial neural network applied to prediction of fluorquinolone antibacterial activity by topological methods." Journal Of Medicinal Chemistry 43(6): 1143-1148.
Jagannathan, S. and J. Talluri (2002). "Predictive congestion control of ATM networks: multiple sources/single buffer scenario." Automatica 38(5): 815-820.
Jagielska, I. (1993). A neural network model for sales forecasting. Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on.
Jaimes, F. A., J. Farbiarz, et al. (2001). "Comparison between logistic regression and neural networks to predict death in systemic inflammatory response syndrome." Critical Care Medicine 29(12): A113-A113.
Jain, B. A. and B. N. Nag (1998). "A neural network model to predict long-run operating performance of new ventures." Annals of Operations Research 78: 83-110.
Jain, D. A., U. C. Joshi, et al. (2000). Short-term water demand forecasting using artificial neural networks: IIT Kanpur experience. Pattern Recognition, 2000. Proceedings. 15th International Conference on.
Jain, A., A. K. Varshney, et al. (2001). "Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks." Water Resources Management 15(5): 299-321.
Jaiswal, S. S. (1999). Prediction of tool wear using neural networks : a thesis: ix, 182 leaves.
Jaiswal, S. S. (1999). "Prediction of Tool Wear Using Neural Networks." MAI 37(05): 1503.
Jalah-Heravi, A. and Z. Garkani-Nejad (2002). "Prediction of electrophoretic mobilities of alkyl- and alkenylpyridines in capillary electrophoresis using artificial neural networks." Journal of Chromatography A 971(1-2): 207-215.
Jalali-Heravi, M. and M. H. Fatemi (1998). "Prediction of flame ionization detector response factors using an artificial neural network." Journal of Chromatography A 825(2): 161-169.
Jalali-Heravi, M. and M. H. Fatemi (2000). "Prediction of thermal conductivity detection response factors using an artificial neural network." Journal Of Chromatography. A 897(1-2): 227-235.
Jalali-Heravi, M. and Z. Garkani-Nejad (2001). "Prediction of electrophoretic mobilities of sulfonamides in capillary zone electrophoresis using artificial neural networks." Journal Of Chromatography. A 927(1-2): 211-218.
Jalali-Heravi, M. and Z. Garkani-Nejad (2002). "Prediction of electrophoretic mobilities of alkyl- and alkenylpyridines in capillary electrophoresis using artificial neural networks." Journal Of Chromatography. A 971(1-2): 207-215.
Jalali-Heravi, M. and Z. Garkani-Nejad (2002). "Prediction of relative response factors for flame ionization and photoionization detection using self-training artificial neural networks." Journal Of Chromatography. A 950(1-2): 183-194.
Jalan, R., Y. Hiltunen, et al. (1997). "Training and Validation of an Artificial Neural Network to predict early mortality in patients undergoing the transjugular intrahepatic portosystemic stent shunt (TIPSS) for variceal haemorrhage: Analysis of data on 398 patients from two centres." Hepatology 26(4): 40-40.
Jalham, I. S. (2003). "Modeling capability of the artificial neural network (ANN) to predict the effect of the hot deformation parameters on the strength of Al-base metal matrix composites." Composites Science and Technology 63(1): 63-67.
Jan, J. C., S. L. Hung, et al. (2002). "Neural network forecast model in deep excavation." Journal of Computing in Civil Engineering 16(1): 59-65.
Jan, J. C., S.-L. Hung, et al. (2002). "Neural Network Forecast Model in Deep Excavation." Journal of computing in civil engineering 16(1): 7.
Jang, J. "Comparative Analysis of Statistical Methods and Neural Networks for Predicting Life Insurers' Insolvency (Bankruptcy)." DAI, , 59, no. 01A, (1997): 0228.
Jang, W.-J. "Traffic Flow Control and Scheduling of Cells in Atm Switch Using Neural Networks." DAI, , 57, no. 06B, (1996): 3845.
Jang, G. S., F. P. Lai, et al. (1993). "Intelligent Stock Trading System with Price Trend Prediction and Reversal Recognition Using Dual-Module Neural Networks." Applied Intelligence 3(3): 225-248.
Jang, W.-J. (1996). "Traffic flow control and scheduling of cells in ATM switch using neural networks." DAI 57(06B): 3845.
Jang, J. (1997). Comparative analysis of statistical methods and neural networks for predicting life insurers' insolvency: xix, 128 leaves.
Jankovicova, D., P. Dolinsky, et al. (2002). "Neural network-based nonlinear prediction of magnetic storms." Journal of Atmospheric and Solar-Terrestrial Physics 64(5-6): 651-656.
Jarrell, D. D. (1996). Optimization of a multi-layer perceptron neural network for stock market forecasting.
Jarrell, D. D. (1996). Optimization of a multi-layer perceptron neural network for stock market forecasting: xi, 107 leaves.
Jasper, W. J., E. T. Kovacs, et al. (1993). "Using Neural Networks to Predict Dye Concentrations in Multiple-Dye Mixtures." Textile Research Journal 63(9): 545-551.
Jasper, W. J. (1994). "Using Neural Networks to Predict Dye Concentrations in Multiple-Dye Mixtures - Reply." Textile Research Journal 64(3): 184-184.
Javadpour, R. (2001). "A neural network approach to dependent reliability estimation." DAI 62(07B): 3362.
Javeed Nizami, S. and A. Z. Al-Garni (1995). "Forecasting electric energy consumption using neural networks." Energy Policy 23(12): 1097-1104.
Javeed Nizami, S. S. and A. Z. Al-Garni (1996). "Forecasting electric energy consumption using neural networks." Fuel and Energy Abstracts 37(2): 113.
Jay, S. "Assessment of Industrial Energy Utilisation and Efficiency of Drying Systems and the Modelling of Drying Characteristics Using Neural Networks." DAI, , 58, no. 04C, (1996): 1357.
Jeannette, E., K. Assawamartbunlue, et al. (1998). "TECHNICAL PAPERS - 4198 - Experimental Results of a Predictive Neural Network HVAC Controller." ASHRAE transactions 104(2): 6.
Jefferson, M. F., N. Pendleton, et al. (1997). "Comparison of a genetic algorithm neural network with logistic regression for predicting outcome after surgery for patients with nonsmall cell lung carcinoma." Cancer 79(7): 1338-1342.
Jefferson, M. F., N. Pendleton, et al. (1998). "Evolution of artificial neural network architecture: prediction of depression after mania." Methods Of Information In Medicine 37(3): 220-225.
Jefferson, M. F., N. Pendleton, et al. (1998). "Prediction of hemorrhagic blood loss with a genetic algorithm neural network." Journal Of Applied Physiology (Bethesda, Md.: 1985) 84(1): 357-361.
Jeng, C.-C. (2001). "Chinese readability analysis using artificial neural networks." DAI 62(08A): 2715.
Jensen, J. R., F. Qiu, et al. (1999). "Predictive modelling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data." International Journal of Remote Sensing 20(14): 2805-2822.
Jensen, L. J., M. Skovgaard, et al. (2002). "Prediction of novel archaeal enzymes from sequence-derived features." Protein Science: a Publication Of The Protein Society 11(12): 2894-2898.
Jensen, L. J., R. Gupta, et al. (2002). "Prediction of human protein function from post-translational modifications and localization features." Journal Of Molecular Biology 319(5): 1257-1265.
Jeong, S.-H. "Analysis of Building Wind Pressure Using Proper Orthogonal Decomposition, Autoregressive Moving Average and Neural Networks." DAI, , 59, no. 05B, (1998): 2331.
Jeong, J. S. and P. Sunwon (1993). "Neural Model Predictive Control for Nonlinear Chemical Processes." Journal of chemical engineering of Japan 26(4): 347-354.
Jeong, S.-H. (1998). Analysis of building wind pressure using proper orthogonal decomposition, autoregressive moving average and neural networks: xv, 155 leaves.
Jeong, K. S., G. J. Joo, et al. (2001). "Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network." Ecological Modelling 146(1-3): 115-129.
Jeong, K.-S., G.-J. Joo, et al. (2001). "Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network." Ecological Modelling 146(1-3): 115-129.
Jeong, B. J., H. S. Jung, et al. (2002). "A computerized causal forecasting system using genetic algorithms in supply chain management." Journal of Systems and Software 60(3): 223-237.
Jerez-Aragones, J. M., J. A. Gomez-Ruiz, et al. (2003). "A combined neural network and decision trees model for prognosis of breast cancer relapse." Artificial Intelligence In Medicine 27(1): 45-63.
Jha, R. and C. L. He (2002). "Neural-network-based adaptive predictive control for vibration suppression of smart structures." Smart Materials & Structures 11(6): 909-916.
Jiahe, A., X. Jiang, et al. (2003). "Artificial neural network prediction of the microstructure of 60Si2MnA rod based on its controlled rolling and cooling process parameters." Materials science & engineering. A. Structural materials : properties, microstructure and processing 344(1): 5.
Jiang, Y. "Damage Detection in Composite Structures Using Multi- Sensing, Actuation, and Neural Network Systems (Delamination)." DAI, , 58, no. 01B, (1997): 0385.
Jiang, J. J., M. S. Zhong, et al. (2000). "Marketing category forecasting: An alternative of BVAR - Artificial neural networks." Decision Sciences 31(4): 789-812.
Jiang, T. (2002). "Three-dimensional site characterization with artificial neural networks." DAI 63(03B): 1471.
Jiang, G. (2003). Travel-Prediction for Urban Arterial Road: A case on China. Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE.
Jim, K., C. L. Giles, et al. (1994). Synaptic noise in dynamically-driven recurrent neural networks : convergence and generalization. College Park, Md., University of Maryland.
Jimenez, D. A. and C. Lin (2002). "Neural methods for dynamic branch prediction." Acm Transactions on Computer Systems 20(4): 369-397.
Jimenez Marquez, S. A. (2002). Prediction of moisture in industrial cheese using artificial neural networks.
Jimenez Marquez, S. A. (2002). "Prediction of moisture in industrial cheese using artificial neural networks." DAI 63(08B): 3527.
Jimenez-Marquez, S. A., C. Lacroix, et al. (2003). "Impact of modeling parameters on the prediction of cheese moisture using neural networks." Computers & Chemical Engineering 27(5): 631-646.
Jiménez, D. A. and C. Lin (2002). "Neural Methods for Dynamic Branch Prediction." ACM Transactions on Computer Systems 20(4): 369 - 397.
Jin, S. "A High-Performance Artificial Neural Network-Based Target Tracking System." MAI, , 32, no. 04, (1993): 1209.
Jin, F. (1996). Applications of neural networks in prediction analysis compared with some conventional statistical methods: vii, 33 leaves.
Jinescu, G., A. Woinaroschy, et al. (1996). "Threshold function selection criteria for a neural network predicting fermentor performance." Revue Roumaine De Chimie 41(3-4): 321-328.
Jo, H. and I. Han (1996). "Integration of Case-Based Forecasting, Neural Network, and Discriminant Analysis for Bankruptcy Prediction." Expert Systems with Applications 11(4): 415-422.
Jo, H. K., I. G. Han, et al. (1997). "Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis." Expert Systems with Applications 13(2): 97-108.
Jo, H., I. Han, et al. (1997). "Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis." Expert Systems with Applications 13(2): 97-108.
Jo, Y.-M. (2001). "A phase-controlled microstrip antenna array using neural networks." DAI 62(11B): 5274.
Joghataie, A. "Neural Networks and Fuzzy Logic for Structural Control." DAI, , 56, no. 03B, (1994): 1588.
Johansson, S. "Electrophysiology of Small Cultured Hippocampal Neurons: On Graded Action Potentials and Ion Channels." DAI, , 53, no. 03C, (1991): 0453.
John, E. R. (2002). "The neurophysics of consciousness." Brain Research Reviews 39(1): 1-28.
Johnson, J. H., P. D. Picton, et al. (1993). "Safety-Critical Neural Computing - Explanation and Verification in Knowledge Augmented Neural Networks." Artificial Intelligence in Engineering 8(4): 307-313.
Johnson, S. R. (1999). "Prediction of Physicochemical Properties and Biological Activities from Molecular Structure and the Use of Computational Neural Networks for the Analysis of Sensor Array Data (Anilines, Qsar, Electronic Nose, Feature Selection)." DAI 60(07B): 3253.
Johnson, M. R. and C. M. Denegri (2003). "Comparison of static and dynamic neural networks for limit cycle oscillation prediction." Journal of Aircraft 40(1): 194-203.
Jonak, J. (2002). "Possibility of neural network application for predicting the load on excavating machines." Journal of Mining Science 38(4): 397-401.
Jones, H. V. B. "An Application of Artificial Neural Networks to Activated Sludge Bulking: Analysis and Forecasting (Sludge, Neural Networks)." DAI, , 51, no. 10B, (1990): 4953.
Jones, H. V. (1990). An application of artificial neural networks to activated sludge bulking analysis and forecasting.
Jones, S. P., R. Jansen, et al. (1996). Neural network models of simple mechanical systems illustrating the feasibility of accelerated life testing. Washington, DC
Springfield, Va., National Aeronautics and Space Administration ;
National Technical Information Service distributor.
Jones, S. P., R. Jansen, et al. (1996). Neural network models of simple mechanical systems illustrating the feasibility of accelerated life testing. Washington, DC
Springfield, Va., National Aeronautics and Space Administration ;
National Technical Information Service distributor.
Jones, S. P., R. Jansen, et al. (1997). "Preliminary investigation of neural network techniques to predict tribological properties." Tribology Transactions 40(2): 312-320.
Jongepier, A. G. "Artificial Neural Networks Applied to Power Systems (Adaptive Distance Protection, Load Forecasting, Alarm Processing)." DAI, , 58, no. 01C, (1996): 0276.
Joo, C. N., J. Y. Koo, et al. (2002). "Application of short-term water demand prediction model to Seoul." Water Science And Technology: a Journal Of The International Association On Water Pollution Research 46(6-7): 255-261.
Joo, D., T. Hong, et al. (2003). "The neural network models for IDS based on the asymmetric costs of false negative errors and false positive errors." Expert Systems with Applications 25(1): 69-75.
Jordan, S. N., A. R. Leach, et al. (1995). "The Application of Neural Networks in Conformational-Analysis .1. Prediction of Minimum and Maximum Interatomic Distances." Journal of Chemical Information and Computer Sciences 35(3): 640-650.
Jorgenson, S. C. (1999). "Modelling of electromagnetic propagation in the marine boundary layer using artificial neural networks." MAI 40(05): 1248.
Joseph, B. and F. W. Hanratty (1993). "Predictive Control of Quality in a Batch Manufacturing Process Using Artificial Neural-Network Models." Industrial & Engineering Chemistry Research 32(9): 1951-1961.
Joshi, P. S. (1999). Direct comparison of Neural Network, Fuzzy Logic and Model Prediction Variable Structure vortex flow controllers: x, 60 leaves.
Jou, M. I. N. "An Intelligent Control System for Resistance Spot Welding Using Fuzzy Logic and Neural Network (Tuning)." DAI, , 56, no. 04B, (1994): 2277.
Jou, M. (2000). "Using artificial neural network techniques to predict volume removal rate of ultrahigh pressure water jet cutting." Science and Technology of Welding and Joining 5(1): 58-62.
Joyce, S. J., D. J. Osguthorpe, et al. (1995). "Neural-Network Prediction of Glass-Transition Temperatures from Monomer Structure." Journal of the Chemical Society-Faraday Transactions 91(16): 2491-2496.
Joyce, S. J., D. J. Osguthorpe, et al. (1995). "Neural network prediction of glass-transition temperatures from monomer structure." Journal of the Chemical Society. Faraday transactions 91(16): 2491.
Juang, C. H. and D. J. Elton (1997). Predicting collapse potential of soils with neural networks.
Juang, C. H., P. C. Lu, et al. (2002). "Predicting geotechnical parameters of sands from CPT measurements using neural networks." Computer-Aided Civil and Infrastructure Engineering 17(1): 31-42.
Juncker, A. S., H. Willenbrock, et al. (2003). "Prediction of lipoprotein signal peptides in Gram-negative bacteria." Protein Science: a Publication Of The Protein Society 12(8): 1652-1662.
Jung, E. S. and S. J. Park (1994). "Prediction of Human Reach Posture Using a Neural-Network for Ergonomic Man Models." Computers & Industrial Engineering 27(1-4): 369-372.
Jung, S. H., K. H. Cho, et al. (1996). "Design of Flexible PID-Plus Bang-Bang Controller with Neural Network Predictive Model." IEICE transactions on information and systems 79(4): 357.
Jung, S. H., K. H. Cho, et al. (1996). "Design of flexible PID-plus Bang-Bang controller with neural network predictive model." Ieice Transactions on Information and Systems E79D(4): 357-362.
Jurs, P. C. and L. M. Egolf (1993). "Prediction of Boiling Points of Organic Heterocyclic-Compounds Using Linear-Regression and Neural Networks." Abstracts of Papers of the American Chemical Society 206: 102-COMP.
K*z*lta*s, S. and Middle East Technical University. Department of Civil Engineering. (2002). Organizational effectiveness in Turkish construction companies: an artificial neural network based prediction model. Ankara: 173 l.
Kaashoek, J. F. and H. K. van Dijk (1997). A simple strategy to prune neural networks with an application to economic time series. Tinbergen Institute Discussion Papers.
Kaastra, I. "Forecasting Futures Trading Volume Using Neural Networks." MAI, , 33, no. 03, (1994): 0751.
Kaastra, I. (1994). Forecasting futures trading volume using neural networks: vi, 61 leaves.
Kaastra, I., M. Boyd, et al. (1995). "Using neural networks to forecast monthly futures trading volume." American Journal of Agricultural Economics 77(5): 1362-1362.
Kaastra, I. and M. S. Boyd (1995). "Forecasting Futures Trading Volume Using Neural Networks." Journal of Futures Markets 15(8): 953-970.
Kaastra, I. and M. Boyd (1996). "Designing a neural network for forecasting financial and economic time series." Neurocomputing 10(3): 215-236.
Kaboudan, M. A. (2001). "Compumetric forecasting of crude oil prices." Proceedings of the 2001 Congress on Evolutionary Computation 1: 283-287.
Kabundi, A. N. (2002). Macroeconomic forecasting : a comparison between artificial neural networks and econometric models: 96 leaves.
Kaburlasos, V. G. "Adaptive Resonance Theory with Supervised Learning and Large Database Applications (Neural Network, Medical Database)." DAI, , 53, no. 04B, (1992): 1985.
Kajiji, N. M. (2001). Adaptation of closed form regularization parameters with prior information to the radial basis function neural network for high frequency financial time series: ix,171 leaves.
Kajiji, N. (2001). "Adaptation of closed form regularization parameters with prior information to the radial basis function neural network for high frequency financial time series." DAI 62(09B): 4040.
Kajitani, Y. (1999). "Forecasting Time Series with Neural Nets." MAI 37(06): 1867.
Kak, S. (1999). "Better Web searches and prediction with instantaneously trained neural networks." Ieee Intelligent Systems & Their Applications 14(6): 78-81.
Kalaitzakis, K., G. S. Stavrakakis, et al. (2002). "Short-term load forecasting based on artificial neural networks parallel implementation." Electric Power Systems Research 63(3): 185-196.
Kaleta, S., D. Novotny, et al. (2001). Prediction systems based on FIR BP neural networks. Artificial Neural Networks-Icann 2001, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2130: 725-730.
Kaliszan, R., T. Baczek, et al. (2003). "Prediction of gradient retention from the linear solvent strength (LSS) model, quantitative structure-retention relationships (QSRR), and artificial neural networks (ANN)." Journal of Separation Science 26(3-4): 271-282.
Kalkkuhl, J. (1997). Applications of neural adaptive control technology. Singapore ; River Edge, NJ, World Scientific.
Kalluri, S. (2000). "Cochlear nucleus onset neurons studied with mathematical models." DAI 62(08B): 3503.
Kalmadi, P. (2000). "Building an automatic task scheduler using genetic algorithms and artificial neural networks." MAI 39(01): 238.
Kalogirou, S. A., S. Panteliou, et al. (1999). "Artificial neural networks used for the performance prediction of a thermosiphon solar water heater." Renewable Energy 18(1): 87-99.
Kalogirou, S. A. (2000). "Long-term performance prediction of forced circulation solar domestic water heating systems using artificial neural networks." Applied Energy 66(1): 63-74.
Kalogirou, S. A. and M. Bojic (2000). "Artificial neural networks for the prediction of the energy consumption of a passive solar building." Energy 25(5): 479-491.
Kalogirou, S. A. and S. Panteliou (2000). "Thermosiphon solar domestic water heating systems: long-term performance prediction using artificial neural networks." Solar Energy 69(2): 163-174.
Kalogirou, S., M. Eftekhari, et al. (2003). "Predicting the pressure coefficients in a naturally ventilated test room using artificial neural networks." Building and Environment 38(3): 399-407.
Kalyar, I. A. "Prediction of Sunday Afternoon Traffic Using Neural Network and Regression Analysis (Alberta)." MAI, , 37, no. 03, (1998): 1028.
Kalyar, I. A. (1998). "Prediction of Sunday Afternoon Traffic Using Neural Network and Regression Analysis (Alberta)." MAI 37(03): 112.
Kalyar, I. A. (1999). Prediction of Sunday afternoon traffic using neural network and regression analysis. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Kalyuzhnyi, Y. V. and P. T. Cummings (2003). "Yukawa sticky m-point model of associating fluid." Journal of Chemical Physics 118(14): 6437-6445.
Kam, E. K. T., M. M. AlMashan, et al. (1996). Bed expansion and product slate predictions of H-Oil process via neural network modelling. Catalysts in Petroleum Refining and Petrochemical Industries 1995. Amsterdam, ELSEVIER SCIENCE PUBL B V. 100: 283-292.
Kamarsu, S. (1996). Neural code excited linear prediction for low power adaptive speech coding. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Kamarthi, S. V. "On-Line Tool Wear Estimation in Turning through Sensor Data Fusion and Neural Networks." DAI, , 56, no. 02B, (1994): 1027.
Kambhampati, S. R. P. (2001). "A comparative study of PK/PD and neural network modeling." DAI 62(05B): 2278.
Kaminski, W., P. Strumillo, et al. (1998). "Neurocomputing approaches to modelling of drying process dynamics." Drying Technology 16(6): 967-992.
Kaminski, W., J. Skrzypski, et al. (2000). Forecasting of air pollution in urban areas by means of artificial neural networks.
Kamran, F. and T. G. Habetler (1994). "An Improved Dead-Beat Rectifier Regulator Using a Neural Net Predictor." PESC record: 1431.
Kamran, F. and T. G. Habetler (1995). "An Improved Deadbeat Rectifier Regulator Using a Neural-Net Predictor." Ieee Transactions on Power Electronics 10(4): 504-510.
Kamran, F. and T. G. Habetler (1995). "An Improved Deadbeat Rectifier Regulator Using a Neural New Predictor." IEEE transactions on power electronics 10(4): 7.
Kan, P. and C. J. Lee (1996). "A neural network model for prediction of phase equilibria in aqueous two-phase extraction." Industrial & Engineering Chemistry Research 35(6): 2015-2023.
Kanali, C. L. (1997). "Prediction of Axle Loads Induced by Sugarcane Transport Vehicles using Statistical and Neural-Network Models." Journal of Agricultural Engineering Research 68(3): 207-213.
Kanas, A. (2001). "Neural network linear forecasts for stock returns." International Journal of Finance & Economics 6(3): 245-254.
Kanda, A., S. Fujita, et al. (1994). "Acceleration by Prediction for Error Backpropagation Algorithm of Neural-Network." Systems and Computers in Japan 25(1): 78-87.
Kandasamy, N. "Ozone Forecasting Using Statistical and Neural Network Models for the near Non-Attainment Areas of Texas." MAI, , 36, no. 06, (1998): 1669.
Kandasamy, N. (1998). Ozone forecasting using statistical and neural network models for the near non-attainment areas of Texas: x, 80 leaves.
Kandasamy, N. (1998). "Ozone Forecasting Using Statistical and Neural Network Models for the near Non-Attainment Areas of Texas." MAI 36(06): 80.
Kandil, M. S., S. M. El-Debeiky, et al. (2002). "Long-term load forecasting for fast developing utility using a knowledge-based expert system." Power Systems, IEEE Transactions on 17(2): 491-496.
Kang, S. Y. "An Investigation of the Use of Feedforward Neural Networks for Forecasting (Neural Networks)." DAI, , 52, no. 08B, (1991): 4313.
Kang, S. (1991). An investigation of the use of feedforward neural networks for forecasting.
Kang, S. (1991). An investigation of the use of feedforward neural networks for forecasting: xii, 150 leaves, bound.
Kang, B.-H. (1993). Weather prediction using neural network models: vii, 99 leaves.
Kang, J. (1996). A neural network approach to maximizing risk-adjusted return in financial time series: x, 61 leaves.
Kanjilal, P. P. and S. Palit (1995). "Modeling and Prediction of Time-Series Using Singular-Value Decomposition and Neural Networks." Computers & Electrical Engineering 21(5): 299-309.
Kao, C.-C. (2000). "An information-theoretic approach to artificial neural networks: Applications in geographic information processing." DAI 61(10A): 3809.
Kao, J.-J. and S.-S. Huang (2000). "TECHNICAL PAPERS - Forecasts Using Neural Network versus Box-Jenkins Methodology for Ambient Air Quality Monitoring Data." Journal of the Air & Waste Management Association 50(2): 8.
Kao, J. J. and S. S. Huang (2000). "Forecasts using neural network versus Box-Jenkins methodology for ambient air quality monitoring data." Journal Of The Air & Waste Management Association (1995) 50(2): 219-226.
Kapur, L. (1998). "Investigation of Artificial Neural Networks, Alternating Conditional Expectation, and Bayesian Methods for Reservoir Characterization." DAI 60(07B): 3542.
Karayaka, H. B. (2000). "Neural network modeling and estimation of synchronous machine parameters." DAI 61(05B): 2681.
Karayiannis, N. B. "Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications (Neural Networks)." DAI, , 53, no. 02B, (1991): 0934.
Kariniotakis, G. N., G. S. Stavrakakis, et al. (1996). "Wind power forecasting using advanced neural networks models." Ieee Transactions on Energy Conversion 11(4): 762-767.
Karjala, T. W. J. "Dynamic Data Rectification Via Recurrent Neural Networks (Kalman Filtering)." DAI, , 56, no. 06B, (1995): 3323.
Karkoub, M. A., O. E. Gad, et al. (1999). "Predicting axial piston pump performance using neural networks." Mechanism and Machine Theory 34(8): 1211-1226.
Karr, C. L. and L. M. Freeman (1999). Industrial applications of genetic algorithms. Boca Raton, FL, CRC Press.
Karras, D. A., S. A. Karkanis, et al. (1998). "Information systems based on neural network and wavelet methods with application to decision making, modeling and prediction tasks." Kybernetes 27(3): 224-+.
Karri, V. (2000). Drilling performance prediction using general regression neural networks. Intelligent Problem Solving: Methodologies and Approaches, Prodeedings. Berlin, SPRINGER-VERLAG BERLIN. 1821: 67-72.
Karul, C., S. Soyupak, et al. (2000). "Case studies on the use of neural networks in eutrophication modeling." Ecological Modelling 134: 145–152.
Karunanithi, N., Y. K. Malaiya, et al. (1990). Prediction of software reliability using neural networks. Fort Collins, Colo., Colorado State University Dept. of Computer Science.
Karunanithi, N. and D. Whitley (1992). Prediction of software reliability using feedforward and recurrent neural nets. Neural Networks, 1992. IJCNN., International Joint Conference on.
Karunanithi, N., D. Whitley, et al. (1992). "Using Neural Networks in Reliability Prediction." Ieee Software 9(4): 53-59.
Karunanithi, N., W. J. Grenney, et al. (1994). "Neural Networks for River Flow Prediction." Journal of Computing in Civil Engineering 8(2): 201-220.
Kasabov, N. K. and Q. Song (2002). "DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction." Ieee Transactions on Fuzzy Systems 10(2): 144-154.
Kasperkiewicz, J., J. Raez, et al. (1995). "Hpc Strength Prediction Using Artificial Neural-Network." Journal of Computing in Civil Engineering 9(4): 279-284.
Kasprow, R. P. (2000). "Hybrid modeling (neural networks and first principles) of fermentation: Combining biochemical engineering fundamentals and process data." DAI 61(06B): 3164.
Kassaei, H. R. (1996). A Hybrid Fuzzy Neural Network Based Approach to Load Modeling and Forecasting: xv, 127 leaves.
Kastens, T. L. and A. M. Featherstone (1996). "Feedforward backpropagation neural networks in prediction of farmer risk preferences." American Journal of Agricultural Economics 78(2): 400-415.
Kat*rc*o*glu, D. and Middle East Technical University. Dept. of Petroleum and Natural Gas Engineering. (2002). Analysis of well production decline data for production forecasting by : artificial neural networks, auto regressive integrated moving average and decline curve analysis. Ankara,: 232 leaves.
Katayama, M. and M. Kawato (1993). "Virtual trajectory and stiffness ellipse during mulijoint arm movement predicted by neural inverse models." Biological cybernetics 69(5-6): 353.
Katayama, M. (2001). A neural control model using predictive adjustment mechanism of viscoelastic property of the human arm. Artificial Neural Networks-Icann 2001, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2130: 971-976.
Kattan, M. W. "A Model for Explaining and Predicting the Effectiveness of Machine Learning Techniques (Neural Networks)." DAI, , 54, no. 11A, (1993): 4171.
Kattan, M. (2002). "Statistical prediction models, artificial neural networks, and the sophism "I am a patient, not a statistic"." Journal Of Clinical Oncology: Official Journal Of The American Society Of Clinical Oncology 20(4): 885-887.
Katz, S. A., L. Vernik, et al. (1999). "Prediction of porosity and lithology in siliciclastic sedimentary rock using cascade neural assemblies." Journal of Petroleum Science and Engineering 22(1-3): 141-150.
Kaufmann, S. J., J. L. Eastaugh, et al. (1997). "The application of neural networks in predicting the outcome of in-vitro fertilization." Human Reproduction (Oxford, England) 12(7): 1454-1457.
Kaul, M. (2001). Artificial neural networks for corn and soybean yield prediction: v, 85 leaves.
Kaur, G., A. Gardiner, et al. (2000). "Artificial neural networks for the prediction of outcome in anal sphincter repair." Gastroenterology 118(4): A213-A213.
Kaur, H. and G. P. S. Raghava (2002). "An evaluation of beta-turn prediction methods." Bioinformatics (Oxford, England) 18(11): 1508-1514.
Kaur, H. and G. P. S. Raghava (2003). "A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment." Protein Science: a Publication Of The Protein Society 12(5): 923-929.
Kaur, H. and G. P. S. Raghava (2003). "Prediction of beta-turns in proteins from multiple alignment using neural network." Protein Science: a Publication Of The Protein Society 12(3): 627-634.
Kauser, G. and I. Wagner (1991). "Prediction of Protein Domain-Structure with Neural Networks." Biological Chemistry Hoppe-Seyler 372(9): 686-686.
Kavuturu, S. R. K. (1993). Water demand forecasting and comparison of neural network models: viii, 66 leaves.
Kawashima, M., C. E. Dorgan, et al. (1996). "Optimizing System Control with Load Prediction by Neural Networks for an Ice-Storage System." ASHRAE transactions 102(1): 12.
Kawazu, T., K. Araki, et al. (2001). "Application of neural networks to the prediction of lymph node metastasis in oral cancer." International Congress Series 1230: 1295-1296.
Kay, J. W. and D. M. Titterington (1999). Statistics and neural networks : advances at the interface. Oxford ; New York, Oxford University Press.
Kaymaz, E. "Identification and Fuzzy Logic Control of Nonlinear Dynamical Systems (Neural Networks, Controllers, Manipulators)." DAI, , 56, no. 05B, (1995): 2784.
Ke, J. (2002). Neural-network modelling of placer ore grade spatial variability: xiii, 251 leaves.
Ke, J. (2002). "Neural-network modeling of placer ore grade spatial variability." DAI 63(07B): 3454.
Keat, J. R. (2000). "Modeling precise spike trains from early visual neurons." DAI 61(09B): 4592.
Keating, D., T. H. Williamson, et al. (1994). "The Electroretinogram as a Predictor of Rubeosis in Central Retinal Vein Occlusion (Crvo) - a Comparison of Neural-Network, Naka-Rushton and Conventional Analysis." Investigative Ophthalmology & Visual Science 35(4): 2044-2044.
Keenan, M. B. "Fine-Grained Object-Oriented Artificial Evolution of Artificial Neural Networks." DAI, , 59, no. 07B, (1998): 3552.
Kehagias, A. and V. Petridis (1997). "Time-series segmentation using predictive modular neural networks." Neural Computation 9(8): 1691-1709.
Kehagias, A. and V. Petridis (1997). "Time Series Segmentation Using Predictive Modular Neural Networks." Neural computation 9(8): 20.
Kehagias, A. and V. Petridis (1997). "Predictive Modular Neural Networks for Time Series Classification." Neural Networks 10(1): 31-49.
Kehagias, A. and V. Petridis (2002). "Predictive modular neural networks for unsupervised segmentation of switching time series: The data allocation problem." Ieee Transactions on Neural Networks 13(6): 1432-1449.
Kehagias, A. and V. Petridis (2002). "Pattern Classification and Clustering - Predictive Modular Neural Networks for Unsupervised Segmentation of Switching Time Series: The Data Allocation Problem." IEEE transactions on neural networks 13(6): 18.
Kehoe, S., D. Lowe, et al. (2000). "Artificial neural networks and survival prediction in ovarian carcinoma." European Journal Of Gynaecological Oncology 21(6): 583-584.
Keidel, M. R. (1996). Predicting jet-plume deflection on the F/A-18 HARV using neural networks: xx, 123 leaves.
Kelly, A. J., P. H. Goodman, et al. (1992). "Neural Network Prediction of Child Sexual Abuse." Clinical Research 40(1): A99-A99.
KEMMOKU, Y., S. ORITA, et al. (1999). "DAILY INSOLATION FORECASTING USING A MULTI-STAGE NEURAL NETWORK." Solar Energy 66(3): 193-199.
Kermanshahi, B. (1998). "Recurrent neural network for forecasting next 10 years loads of nine Japanese utilities." Neurocomputing 23(1-3): 125-133.
Kermanshahi, B. and H. Iwamiya (2002). "Up to year 2020 load forecasting using neural nets." International Journal of Electrical Power & Energy Systems 24(9): 789-797.
Kesavan, J. G. "Approaches to the Modeling of Tablet Processing and Stability of Solid Dosage Forms (Pharmaceutical Formulation, Neural Networks, Solid State)." DAI, , 56, no. 02B, (1994): 0762.
Keseru, G. M., L. Molnar, et al. (2000). "A neural network based virtual high throughput screening test for the prediction of CNS activity." Combinatorial Chemistry & High Throughput Screening 3(6): 535-540.
Keshav, S. and University of Alabama. Dept. of Aerospace Engineering. (1996). Predicting the residual strength of impacted laminates : a neural network approach: x, 72 leaves.
Keshavaraj, R., R. W. Tock, et al. (1995). "Prediction of Solvent Activity in Polymer Systems with Neural Networks." Industrial & Engineering Chemistry Research 34(11): 3974-3980.
Keshavaraj, R., R. W. Tock, et al. (1996). "Fluid property prediction of siloxanes with the aid of artificial neural nets." Polymer-Plastics Technology and Engineering 35(6): 971-982.
Kesmir, C., A. K. Nussbaum, et al. (2002). "Prediction of proteasome cleavage motifs by neural networks." Protein Engineering 15(4): 287-296.
Kettner, R. E., M. Suh, et al. (2002). "Modeling cerebellar flocculus and paraflocculus involvement in complex predictive smooth eye pursuit in monkeys." Annals Of The New York Academy Of Sciences 978: 455-467.
Kettner, R. E., M. Suh, et al. (2002). "Complex predictive eye pursuit in monkey: a model system for cerebellar studies of skilled movement." Archives Italiennes De Biologie 140(4): 331-340.
Khan, J., J. S. Wei, et al. (2001). "Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks." Nature Medicine 7(6): 673-679.
Khanduri, A. C. (1997). "Wind-Induced Interference Effects on Buildings: Integrating Experimental and Computerized Approaches (Neural Networks)." DAI 60(08B): 4107.
Kheireldin, K. A. and W. Kamel (2003). Neural network predictor for scour around bridge abutments.
Khoshgoftaar, T. M. and R. M. Szabo (1996). "Using neural networks to predict software faults during testing." Ieee Transactions on Reliability 45(3): 456-462.
Khotanzad, A. and J.-H. Lu (1990). Non-parametric prediction of AR processes using neural networks. International Conference on Acoustics, Speech, and Signal Processing, 1990, Albuquerque, NM, USA.
Khotanzad, A., R. C. Hwang, et al. (1995). "An Adaptive Modular Artificial Neural-Network Hourly Load Forecaster and Its Implementation at Electric Utilities." Ieee Transactions on Power Systems 10(3): 1716-1722.
Khotanzad, A., M. H. Davis, et al. (1996). "An artificial neural network hourly temperature forecaster with applications in load forecasting." Ieee Transactions on Power Systems 11(2): 870-876.
Khotanzad, A., R. AfkhamiRohani, et al. (1997). "ANNSTLF - A neural-network-based electric load forecasting system." Ieee Transactions on Neural Networks 8(4): 835-846.
Khotanzad, A., R. Afkhami-Rohani, et al. (1998). "ANNSTLF - Artificial neural network short-term load forecaster - Generation three." Ieee Transactions on Power Systems 13(4): 1413-1422.
Khotanzad, A., H. Elragal, et al. (2000). "Combination of artificial neural-network forecasters for prediction of natural gas consumption." Ieee Transactions on Neural Networks 11(2): 464-473.
Kiartzis, S. J., A. G. Bakirtzis, et al. (1995). "Short-Term Load Forecasting Using Neural Networks." Electric Power Systems Research 33(1): 1-6.
Kiartzis, S. J., C. E. Zoumas, et al. (1997). "Short-term load forecasting in an autonomous power system using artificial neural networks." Ieee Transactions on Power Systems 12(4): 1591-1596.
Kilis, D. "An Artificial Neural Network with Added Physiological Features (Neural Network)." DAI, , 51, no. 11B, (1990): 5500.
Kilman, Y., L. Devoe, et al. (2001). "The use of neural networks in prediction of birthweight remote from delivery." American Journal of Obstetrics and Gynecology 185(6): S164-S164.
Kim, H. C. "Integration Approach to Process Modelling Using Neural Network and to Control System Design." MAI, , 33, no. 01, (1993): 0252.
Kim, J. W. "A Comparative Analysis of Rule-Based, Neural Network, and Statistical Classification Systems for the Bond Rating Problem." DAI, , 53, no. 03A, (1992): 0869.
Kim, K. "Reliability Assessment of Nuclear Power Plant Fault- Diagnostic Systems Using Artificial Neural Networks." DAI, , 55, no. 09B, (1994): 4091.
Kim, S. "Intelligent Information Retrieval Using an Inductive Learning Algorithm and a Back-Propagation Neural Network." DAI, , 55, no. 12A, (1994): 3673.
Kim, B. and K. Kim "Prediction of profile surface roughness in CHF3/CF4 plasma using neural network." Applied Surface Science In Press, Corrected Proof.
Kim, K.-j. "Financial time series forecasting using support vector machines." Neurocomputing In Press, Corrected Proof.
Kim, Y. S., J. H. Kim, et al. "Prediction of glass transition temperature (T(g)) of some compounds in organic electroluminescent devices with their molecular properties." Journal Of Chemical Information And Computer Sciences 42(1): 75-81.
Kim, I.-S., J.-S. Son, et al. "Optimal design of neural networks for control in robotic arc welding." Robotics and Computer-Integrated Manufacturing In Press, Corrected Proof.
Kim, K. (1992). An artificial neural network fault-diagnostic adviser for a nuclear power plant with error prediction: 108 leaves.
Kim, H. G., S. H. Chang, et al. (1993). "Pressurized Water-Reactor Core Parameter Prediction Using an Artificial Neural Network." Nuclear Science and Engineering 113(1): 70-76.
Kim, W. J., S. H. Chang, et al. (1993). "Application of Neural Networks to Signal Prediction in Nuclear-Power-Plant." Ieee Transactions on Nuclear Science 40(5): 1337-1341.
Kim, K. and E. B. Bartlett (1994). "Error Prediction for a Nuclear-Power-Plant Fault-Diagnostic Adviser Using Neural Networks." Nuclear Technology 108(2): 283-297.
Kim, K. H., J. K. Park, et al. (1995). "Implementation of Hybrid Short-Term Load Forecasting System Using Artificial Neural Networks and Fuzzy Expert-Systems." Ieee Transactions on Power Systems 10(3): 1534-1539.
Kim, S. H. and S. H. Chun (1998). "Graded forecasting using an array of bipolar predictions: application of probabilistic neural networks to a stock market index." International Journal of Forecasting 14(3): 323-337.
Kim, S. S. (1998). "Time-delay recurrent neural network for temporal correlations and prediction." Neurocomputing 20(1-3): 253-263.
Kim, Y. and Y. R. Kim (1998). Prediction of layer moduli from falling weight deflectometer and surface wave measurements using artificial neural network. Recent Pavement Research Issues. Washington, NATL ACAD SCI: 53-61.
Kim, S. H. and S. Hak Chun (1998). "Graded forecasting using an array of bipolar predictions: application of probabilistic neural networks to a stock market index." International Journal of Forecasting 14(3): 323-337.
Kim, S.-S. (1998). "Time-delay recurrent neural network for temporal correlations and prediction." Neurocomputing 20(1-3): 253-263.
Kim, H. (1999). "Neural networks in space and time: A new cue to motion perception." DAI 60(11B): 5804.
Kim, W. O., H. K. Kil, et al. (1999). "Prediction of oculocardiac reflex in strabismus surgery using neural networks." Yonsei Medical Journal 40(3): 244-247.
Kim, D. and M. Marciniak (2000). "Prediction of vertical tail maneuver loads using backpropagation neural networks." Journal of Aircraft 37(3): 526-530.
Kim, H. J. and K. S. Chang (2000). "Hybrid neural network approach in description and prediction of dynamic behavior of chaotic chemical reaction systems." Korean Journal of Chemical Engineering 17(6): 696-703.
Kim, K. H., H. S. Youn, et al. (2000). "Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method." Ieee Transactions on Power Systems 15(2): 559-565.
Kim, K. J. and I. Han (2000). "Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index." Expert Systems with Applications 19(2): 125-132.
Kim, K.-j. and I. Han (2000). "Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index." Expert Systems with Applications 19(2): 125-132.
Kim, W. O., H. K. Kil, et al. (2000). "Prediction on lengths of stay in the postanesthesia care unit following general anesthesia: preliminary study of the neural network and logistic regression modelling." Journal Of Korean Medical Science 15(1): 25-30.
Kim, D., L. Pechaud, et al. (2001). Improved methodology for the prediction of the empennage maneuver in-flight loads of a general aviation aircraft using neural networks. Washington, D.C.
Springfield, Va., Office of Aviation Research U.S. Federal Aviation Administration ;
Available through the National Technical Information Service.
Kim, D., M. Marciniak, et al. (2001). A methodology to predict the empennage in-flight loads of a general aviation aircraft using backpropagation neural networks. Washington, D.C.
Springfield, Va., Office of Aviation Research U.S. Federal Aviation Administration ;
Available through the National Technical Information Service.
Kim, C. Y., G. J. Bae, et al. (2001). "Neural network based prediction of ground surface settlements due to tunnelling." Computers and Geotechnics 28(6-7): 517-547.
Kim, G. and A. P. Barros (2001). "Quantitative flood forecasting using multisensor data and neural networks." Journal of Hydrology 246(1-4): 45-62.
Kim, C. and W. H. Yang (2002). "Prediction of error due to eccentricity of hole in hole-drilling method using neural network." Ksme International Journal 16(11): 1359-1366.
Kim, C. I., I. K. Yu, et al. (2002). "Kohonen neural network and wavelet transform based approach to short-term load forecasting." Electric Power Systems Research 63(3): 169-176.
Kim, D., M. Ishitani, et al. (2002). "A comparison of a neural network model and the model for end-stage liver disease score in predicting survival of patients with ESLD: When HAL* meets MELD." Hepatology 36(4): 716A-716A.
Kim, D. and M. Marciniak (2002). "Horizontal tail maneuver load predictions using backpropagation neural networks." Journal of Aircraft 39(2): 365-370.
Kim, D. J. and B. M. Kim (2002). "Prediction of deformed configuration and ductile fracture for simple upsetting using an artificial neural network." International Journal of Advanced Manufacturing Technology 19(5): 336-342.
Kim, I. S., J. S. Son, et al. (2002). "A study on prediction of bead height in robotic arc welding using a neural network." Journal of Materials Processing Technology 130: 229-234.
Kim, I. S., J. S. Son, et al. (2002). "A study on prediction of bead height in robotic arc welding using a neural network." Journal of Materials Processing Technology 130-131: 229-234.
Kim, C.-i., I.-k. Yu, et al. (2002). "Kohonen neural network and wavelet transform based approach to short-term load forecasting." Electric Power Systems Research 63(3): 169-176.
Kimoto, T. and A. Kazuo (1990). Stock Market Prediction Systems with Modular Neural Networks. Proceedings of the 1990 International Joint Conference on Neural Nets.
Kimoto, T. and M. Yoda (1993). "Buying and Selling Timing Prediction System for Stocks Based on Modular Neural Networks." Fujitsu Scientific & Technical Journal 29(3): 257-264.
Kimura, A., I. Arizono, et al. (1996). "An improvement of a back propagation algorithm by the extended Kalman filter and demand forecasting by layered neural networks." International Journal of Systems Science 27(5): 473-482.
King, A. P. "Accounting for Time of Occurrence in Eliminative Connectionist Models (Timing Mechanisms, Neuronal Clocks, Oscillators)." DAI, , 58, no. 07B, (1997): 3745.
Kingdon, J. (1997). Intelligent systems and financial forecasting. London ; New York, Springer.
Kirby, H. R., M. S. Dougherty, et al. (1994). Should we use neural networks or statistical models for short term motorway traffic forecasting?
Kirby, H. R., S. M. Watson, et al. (1997). "Should we use neural networks or statistical models for short-term motorway traffic forecasting?" International Journal of Forecasting 13(1): 43-50.
Kirby, S. D., W. Danter, et al. (1999). "Neural network prediction of obstructive sleep apnea from clinical criteria." Chest 116(2): 409-415.
Kirby, S. D., P. Eng, et al. (1999). "Neural network prediction of obstructive sleep apnea from clinical criteria." Chest 116(2): 409-415.
Kisley, M. A. (2000). "Dynamic organization of neuronal populations in neocortex." DAI 61(03B): 1245.
Kiss, I. Z. and V. Gaspar (1995). "Predicting the dynamics of an oligo-oscillatory reaction by an artificial neural network." Ach-Models in Chemistry 132(6): 887-901.
Kiss, I. Z., G. Mandi, et al. (2000). "Artificial neural network approach to predict the solubility of C-60 in various solvents (vol 104A, pg 8087, 2000)." Journal of Physical Chemistry A 104(46): 10994-10994.
Kiss, I. Z., G. Mandi, et al. (2000). "Artificial neural network approach to predict the solubility of C-60 in various solvents." Journal of Physical Chemistry A 104(34): 8081-8088.
Kiss, L. E., I. Kovesdi, et al. (2001). "An improved design of fluorophilic molecules: prediction of the ln P fluorous partition coefficient, fluorophilicity, using 3D QSAR descriptors and neural networks." Journal of Fluorine Chemistry 108(1): 95-109.
Kitchens, F. L. (2000). Using artificial neural networks to predict losses in automobile insurance: xv, 150 leaves.
Kitchens, F. L., III (2000). "Using artificial neural networks to predict losses in automobile insurance." DAI 61(09A): 3650.
Klawun, C. "Interpretation and Identification of Infrared and Mass Spectra with Neural Networks (Spectral Interpretation)." DAI, , 56, no. 10B, (1995): 5459.
Klawun, C. and C. L. Wilkins (1996). "Optimization of functional group prediction from infrared spectra using neural networks." Journal of Chemical Information and Computer Sciences 36(1): 69-81.
Kleijnen, J. P. C. and R. G. Sargent (2000). "A methodology for fitting and validating metamodels in simulation." European Journal of Operational Research 120(1): 14-29.
Klein, B. D. and D. F. Rossin (1999). "Data quality in neural network models: effect of error rate and magnitude of error on predictive accuracy." Omega 27(5): 569-582.
Klerks, E. E. (2002). Neural networks to predict the properties of a new type of batch hot dip galvanized steel: xii, 230 leaves.
Klug, A. E. (2000). "The response of inferior colliculus neurons in the Mexican free-tailed bat to species-specific calls." DAI 62(08B): 3504.
Knapp, G. M. "Hierarchical Integrated Maintenance Planning for Automated Manufacturing Systems (Neural Network)." DAI, , 53, no. 11B, (1992): 5912.
Kneisler, T. B. "Characterization of the Intrinsic Properties and Synaptic Inputs to Basket Cells in the Dentate Gyrus of Neonatal Rats (Neurons)." DAI, , 56, no. 07B, (1995): 3616.
Kneller, D. G., F. E. Cohen, et al. (1990). "Improvements in Protein Secondary Structure Prediction by an Enhanced Neural Network." Journal of Molecular Biology 214(1): 171-182.
Knowles, R. P. S. "Predicting Construction Labour Productivity Using Neural Networks." MAI, , 36, no. 02, (1997): 0608.
Knowles, R. P. S. (1998). Predicting construction labour productivity using neural networks. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Koch, P. R. "Artificial Neural Network Configurations for Predicting Corn Yield as a Function of Water Regime (Nebraska)." DAI, , 55, no. 01B, (1994): 6653.
Koch, P. R. (1993). Artificial neural network configurations for predicting corn yield as a function of water regime: xi, 133 leaves.
Kodogiannis, V. and A. Lolis (2002). "Forecasting financial time series using neural network and fuzzy system-based techniques." Neural Computing & Applications 11(2): 90-102.
Kodogiannis, V. S. and E. M. Anagnostakis (2002). "Soft computing based techniques for short-term load forecasting." Fuzzy Sets and Systems 128(3): 413-426.
Koekkoek, E. J. W. and H. Booltink (1999). "Neural network models to predict soil water retention." European Journal of Soil Science 50(3): 489-495.
Koffman, S. J. "A Modified Gaussian Neural Network and Growth/Training Algorithm for on-Line Identification of Nonlinear Dynamic Systems." DAI, , 58, no. 09B, (1997): 5072.
Kogiantis, A. G. "Operations and Learning in Neural Networks for Robust Prediction and Classification." DAI, , 55, no. 10B, (1994): 4524.
Kogiantis, A. G. (1994). Operations and learning in neural networks for robust prediction and classification: xi, 92 leaves.
Kogiantis, A. G. and T. PapantoniKazakos (1997). "Operations and learning in neural networks for robust prediction." Ieee Transactions on Systems Man and Cybernetics Part B-Cybernetics 27(3): 402-411.
Kohara, K., Y. Fukuhara, et al. (1996). "Selective presentation learning for neural network forecasting of stock markets." Neural Computing & Applications 4(3): 143-148.
Kohara, K., Y. Fukuhara, et al. (1996). "Neural Multivariate Prediction Using Event-Knowledge and Selectively Intensive Learning." Denki Gakkai ronbunshi. C, Erekutoronikusu, jåohåo kåogaku, shisutemu = The Transactions of the Institute of Electrical Engineers of Japan. C 116(7): 802.
Kohara, K. (2003). Selective-learning-rate approach for stock market prediction by simple recurrent neural networks. Knowledge-Based Intelligent Information and Engineering Systems, Pt 1, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2773: 141-147.
Kohen, H. S. (1999). "A Partial Correlation-Based Neural Network Learning Paradigm (Memory)." DAI 60(08B): 4191.
Kohers, G. "The Use of Neural Networks in the Combining of Time Series Forecasts with Differential Penalty Costs." DAI, , 54, no. 10B, (1993): 5367.
Kohers, G. (1993). The use of neural networks in the combining of time series forecasts with differential penalty costs: xi, 229 leaves.
Kohzadi, N. "Neural Networks Versus Time Series Models for Forecasting Commodity Prices." DAI, , 55, no. 11A, (1994): 3587.
Kohzadi, N. (1994). Neural networks versus time series models for forecasting commodity prices. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Kohzadi, N., M. S. Boyd, et al. (1995). "Neural networks for forecasting: An introduction." Canadian Journal of Agricultural Economics-Revue Canadienne D Economie Rurale 43(3): 463-474.
Kohzadi, N., M. S. Boyd, et al. (1996). "A comparison of artificial neural network and time series models for forecasting commodity prices." Neurocomputing 10(2): 169-181.
Koizumi, K. (1999). "An objective method to modify numerical model forecasts with newly given weather data using an artificial neural network." Weather and Forecasting 14(1): 109-118.
Kolarik, T. and G. Rudorfer (1994). Time Series Forecasting Using Neural Networks. Proceedings of the international conference on APL, Antwerp, Belgium.
Kolehmainen, M., H. Martikainen, et al. (2000). "Forecasting air quality parameters using hybrid neural network modelling." Environmental Monitoring and Assessment 65(1-2): 277-286.
Kolehmainen, M., H. Martikainen, et al. (2001). "Neural networks and periodic components used in air quality forecasting." Atmospheric Environment 35(5): 815-825.
Komatsu, T., I. Aoki, et al. (1994). "Prediction of the Catch of Japanese Sardine Larvae in Sagami Bay Using a Neural-Network." Fisheries Science 60(4): 385-391.
Komatsu, T., I. Aoki, et al. (1994). "Prediction of the Path Type and Offshore Distance of the Kuroshio Current Using Neural-Network." Fisheries Science 60(3): 253-260.
Kominakis, A. P., Z. Abas, et al. (2002). "A preliminary study of the application of artificial neural networks to prediction of milk yield in dairy sheep." Computers and Electronics in Agriculture 35(1): 35-48.
Kominami, H., S. Naito, et al. (1990). A breakout forecasting system for continuous casting by neural network technology.
Kompany-Zareh, M., M. Latif, et al. (2001). "Prediction of H-1 nuclear magnetic resonance spectra of some organic compounds using artificial neural networks." American Laboratory 33(11): 60-61.
Kondapalli, N. (1999). Online higher-order error correction of nonlinear diffusion generalized perturbation theory using neural networks: 43 leaves.
Kong, J. H. L. and G. P. M. D. Martin (1995). A backpropagation neural network for sales forecasting. Neural Networks, 1995. Proceedings., IEEE International Conference on.
Kong, L. X. and P. D. Hodgson (1999). "The application of constitutive and artificial neural network models to predict the hot strength of steels." Isij International 39(10): 991-998.
Konno, K., D. Kamei, et al. (2003). "The development of computational chemistry approach to predict the viscosity of lubricants." Tribology International 36(4-6): 455-458.
Kontaratos, M., T. Tillis, et al. (1998). Predicting parking characteristics : the use of neural networks to support parking management.
Koopmans, M. P., S. R. Larter, et al. (1998). "Viscosity prediction of reservoired heavy oils using molecular geochemistry and neural networks." Abstracts of Papers of the American Chemical Society 215: U635-U635.
Korczak, P., H. Dyja, et al. (1998). "Using neural network models for predicting mechanical properties after hot plate rolling processes." Journal of Materials Processing Technology 80-81: 481-486.
Korres, D. M., G. Anastopoulos, et al. (2002). "A neural network approach to the prediction of diesel fuel lubricity." Fuel 81(10): 1243-1250.
Koskela, T., Lehtokangas Mikko, et al. (1996). Time Series Prediction with Multilayer Perceptron, FIR and Elman Neural Networks, Research reports B15, Laboratory of Computational Engineering, Helsinki University of Technology: 1-5.
Koskivaara, E. (2000). "Artificial neural network models for predicting patterns in auditing monthly balances." Journal of the Operational Research Society 51(9): 1060-1069.
Kosmatopoulos, E. B. and M. A. Christodoulou (1994). "Filtering, Prediction, and Learning Properties of Ece Neural Networks." Ieee Transactions on Systems Man and Cybernetics 24(7): 971-981.
Kosmider, J. and M. Zamelczyk-Pajewska (2001). "Training of artificial neural network for prediction of odour intensity." Inzynieria Chemiczna I Procesowa 22(4): 645-660.
Kosmider, J. and M. Zamelczyk-Pajewska (2002). "Neural network predicting the odour of cyclohexane and heksane mixtures." Inzynieria Chemiczna I Procesowa 23(2): 207-218.
Kossireddy, S. (2001). Analysis and time dependent forecasting of real time shield pressures in Longwell mining using neural network: x, 70 leaves, bound.
Kottick, D. and O. Or (1996). "Neural-networks for predicting the operation of an under-frequency load shedding system." Ieee Transactions on Power Systems 11(3): 1350-1356.
Kottick, D. and O. Or (1996). "Neural-networks for predicting the operation of an under-frequency load shedding system - Response." Ieee Transactions on Power Systems 11(3): 1357-1358.
Kovarova-Kovar, K., S. Gehlen, et al. (2000). "Application of model-predictive control based on artificial neural networks to optimize the fed-batch process for riboflavin production." Journal of Biotechnology 79(1): 39-52.
Kovarova-Kovar, K., S. Gehlen, et al. (2000). "Application of model-predictive control based on artificial neural networks to optimize the fed-batch process for riboflavin production." Journal Of Biotechnology 79(1): 39-52.
Kovarova-Kovar, K., S. Gehlen, et al. (2000). "Application of model-predictive control based on artificial neural networks to optimize the fed-batch process for riboflavin production." Journal of Biotechnology 79(1): 39-52.
Kozloski, J. R. (1999). "Constructing a Representation of Periodicity for Temporal Pattern Recognition in a Vertebrate Auditory System (Sound Representation, Neuronal Pathway Tracing)." DAI 60(04B): 1458.
Kranz, H., V. Vill, et al. "Prediction of material properties from chemical structures. The clearing temperature of nematic liquid crystals derived from their chemical structures by artificial neural networks." Journal Of Chemical Information And Computer Sciences 36(6): 1173-1177.
Kranz, H., V. Vill, et al. (1996). "Prediction of material properties from chemical structures. The clearing temperature of nematic liquid crystals derived from their chemical structures by artificial neural networks." Journal of Chemical Information and Computer Sciences 36(6): 1173-1177.
Krasnopolsky, V. M. and F. Chevallier (2003). "Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models." Neural Networks 16(3-4): 335-348.
Krauss, G., J. I. Kindangen, et al. (1997). "Using artificial neural networks to predict interior velocity coefficients." Building and Environment 32(4): 295-303.
Krawetz, N. A. "Investigation into Protein Folding Prediction of Helices Using Techniques in Computer Science (Heuristics, Bayesian, Neural Networks)." DAI, , 59, no. 04B, (1998): 1738.
Krawetz, N. A. (1998). "Investigation into Protein Folding Prediction of Helices Using Techniques in Computer Science (Heuristics, Bayesian, Neural Networks)." DAI 59(04B): 127.
Kreeger, K. L. (1994). Financial forecasting using neural networks: v, 132 leaves.
Kreesuradej, W. (1993). Time series prediction using neural networks: vi, 42 leaves.
Kreider, J. F., D. E. Claridge, et al. (1995). "Building Energy Use Prediction and System-Identification Using Recurrent Neural Networks." Journal of Solar Energy Engineering-Transactions of the Asme 117(3): 161-166.
Kreider, J. F., S. L. Blanc, et al. (1997). "Operational Data as the Basis for Neural Network Prediction of Hourly Electrical Demand." ASHRAE transactions 103(2): 11.
Kriebel, S. K. T., W. Brauer, et al. (1998). "Coastal upwelling prediction with a mixture of neural networks." Ieee Transactions on Geoscience and Remote Sensing 36(5): 1508-1518.
Krijnsen, H. C., W. E. J. van Kooten, et al. (1999). "Prediction of NOx emissions from a transiently operating diesel engine using an artificial neural network." Chemical Engineering & Technology 22(7): 601-607.
Krijnsen, H. C., W. E. J. van Kooten, et al. (2000). "Evaluation of an artificial neural network for NOx emission prediction from a transient diesel engine as a base for NOx control." Canadian Journal of Chemical Engineering 78(2): 408-417.
Krishna, K. P. "Disturbance Rejection in Nonlinear Dynamical Systems Using Neural Networks." DAI, , 58, no. 05B, (1997): 2584.
Krishnaswamy, M. and P. Krishnan (2002). "Nozzle wear rate prediction using regression and neural network." Biosystems Engineering 82(1): 53-64.
Krishnaswamy, M. and P. Krishnan (2002). "PM--Power and Machinery: Nozzle Wear Rate Prediction using Regression and Neural Network." Biosystems Engineering 82(1): 53-64.
Kropas-Hughes, C. and Air Force Inst. of Tech. Wright-Patterson AFB (OH) School of Engineering. (1999). Image Fusion Using Autoassociative-Heteroassociative Neural Networks. United States, Air Force Inst. of Tech. Wright-Patterson AFB (OH) School of Engineering.
Kropas-Hughes, C. V. (1999). "Image Fusion Using Autoassociative-Heteroassociative Neural Networks." DAI 60(06B): 2856.
Kröse, B. and P. Van der Smagt (1996). An Introduction to Neural Networks, The University of Amsterdam. 8.
Kruczek, P., J. J. Pietrzyk, et al. (2002). "Blood gases values forecasting by artificial neural network in prematurely born infants with respiratory distress." Przeglad Lekarski 59(1): 34-37.
Krunic, M. S. S., I. Krcmar, et al. (2000). "An improved neural network application for short-term load forecasting in power systems." Electric Machines and Power Systems 28(8): 703-721.
Krycha, K. (1992). A comparison of standard methods with a neural network approach to forecast univariate time series. Wien, Institut für Höhere Studien.
Krycha, K. A. and U. Wagner (1999). "Applications of artificial neural networks in management science: a survey." Journal of Retailing and Consumer Services 6: 185-203.
Kseibat, D. S. (1999). "Design of artificial neural network for food safety and quality during thermal processing in a can." MAI 38(02): 479.
Ku, B.-Y. "Dynamic Load Modeling for Power System Transient Stability Studies (Neural Networks)." DAI, , 54, no. 04B, (1993): 2119.
Ku, C.-S. "Multidisciplinary Design of Adaptive Neurocontrollers for Vibration Reduction in Aeroelastic Systems (Adaptive Control, Neural Networks)." DAI, , 58, no. 08B, (1996): 4411.
Kuan, C.-M. "Estimation of Neural Network Models." DAI, , 50, no. 09A, (1989): 2993.
Kuan, C. M. and T. Liu (1995). "Forecasting Exchange-Rates Using Feedforward and Recurrent Neural Networks." Journal of Applied Econometrics 10(4): 347-364.
Kube, M. C. "Neural Network Modeling of Copper Electrodissolution." DAI, , 54, no. 08B, (1993): 4278.
Kube, M. C. (1990). Time series prediction using backpropagation neural networks: 61 leaves.
Kubica, E. G., D. Wang, et al. (1995). "Modelling Balance and Posture Control Mechanisms of the Upper Body using Conventional and Fuzzy Techniques." Gait & Posture 3(2): 111.
Kuczmann, M. and A. Ivanyi (2001). "Vector neural network hysteresis model." Physica B: Condensed Matter 306(1-4): 143-148.
Kuehn, S. M. "The Visual Search Paradigm as a Behavioural Measure of Selective Neuronal Representation for Faces (Face Recognition)." DAI, , 54, no. 02B, (1992): 1143.
Kugblenu, S., S. Taguchi, et al. (1999). "Prediction of the geomagnetic storm associated D-st index using an artificial neural network algorithm." Earth Planets and Space 51(4): 307-313.
Kukkonen, J., L. Partanen, et al. (2003). "Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki." Atmospheric Environment 37(32): 4539-4550.
Kuligowski, R. J. and A. P. Barros (1998). "Localized precipitation forecasts from a numerical weather prediction model using artificial neural networks." Weather and Forecasting 13(4): 1194-1204.
Kuligowski, R. J. and A. P. Barros (1998). "Experiments in short-term precipitation forecasting using artificial neural networks." Monthly Weather Review 126(2): 470-482.
Kulkarni, A. S. (1996). "Application of Neural Networks to Stock Market Prediction."
Kulkarni, D. R., J. C. Parikh, et al. (1997). "Dynamic predictions from time series data - An artificial neural network approach." International Journal of Modern Physics C 8(6): 1345-1360.
Kulkarni, D. R., A. S. Pandya, et al. (1998). "Modeling and predicting sunspot activity - state space reconstruction plus artificial neural network methods." Geophysical Research Letters 25(4): 457-460.
Kumar, A. (1999). The feasibility of using neural networks and genetic algorithms to predict and optimize coated paper and paper board brightness: viii, 88 leaves.
Kumar, A., A. Sinha, et al. (1999). "Forecasting house rental levels: Analytical rent model versus neural network - Discussion." Journal of Urban Planning and Development-Asce 125(1): 55-57.
Kumar, D. M. V. and S. C. Srivastava (1999). "Power system state forecasting using artificial neural networks." Electric Machines and Power Systems 27(6): 653-664.
Kumar, A. and V. C. Hand (2000). "Feasibility of using neural networks and genetic algorithms to predict and optimize coated paper and board brightness." Industrial & Engineering Chemistry Research 39(12): 4956-4962.
Kumar, A. and V. K. Minocha (2001). "Back-propagation neural network in tidal-level forecasting - Discussion." Journal of Waterway Port Coastal and Ocean Engineering-Asce 127(1): 54-55.
Kumluca, A., E. Tulunay, et al. (1999). "Temporal and spatial forecasting of ionospheric critical frequency using neural networks." Radio Science 34(6): 1497-1506.
Kuo, J.-M. "Nonlinear Dynamic Modeling with Artificial Neural Networks." DAI, , 55, no. 09B, (1993): 4039.
Kuo, L.-E. "A Neural Network Based Model Predictive Controller." DAI, , 56, no. 09B, (1994): 5023.
Kuo, R.-J. "Multi-Sensor Integration for Intelligent Control of Machining through Artificial Neural Networks and Fuzzy Modelling." DAI, , 56, no. 03B, (1994): 1640.
Kuo, L.-E. (1994). A neural network based model predictive controller: xiii, 137 leaves.
Kuo, R. J. and K. C. Xue (1998). "A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights." Decision Support Systems 24(2): 105-126.
Kuo, R. J. and K. C. Xue (1998). "An intelligent sales forecasting system through integration of artificial neural network and fuzzy neural network." Computers in Industry 37(1): 1-15.
Kuo, R. J. and K. C. Xue (1999). "Fuzzy neural networks with application to sales forecasting." Fuzzy Sets and Systems 108(2): 123-143.
Kuo, R. J. (2001). "A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm." European Journal of Operational Research 129(3): 496-517.
Kuo, R. J., P. Wu, et al. (2002). "An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination." Neural Networks 15: 909-925.
Kuppuraj, R. N. "Cordoc: A Hybrid Ai Approach to Ecg Interpretation (Neural Networks)." DAI, , 56, no. 11B, (1995): 6252.
Kuroda, C., S. Hikichi, et al. (1998). "Long-term predictions using recurrent neural networks for state changes in polymerization reactors." Kagaku Kogaku Ronbunshu 24(2): 334-339.
Kuropatwinski, J. J. (1997). A methodology for predicting motor misalignment using artificial neural networks: xi, 100 leaves.
Kusiak, A. (2000). Computational intelligence in design and manufacturing. New York, John Wiley & Sons.
Kutsurelis, J. and Naval postgraduate school monterey ca. (1998). Forecasting Financial Markets Using Neural Networks: An Analysis of Methods and Accuracy. United States, Naval postgraduate school monterey ca.
Kuusisto, S., M. Lehtokangas, et al. (1997). "Short term electric load forecasting using a neural network with fuzzy hidden neurons." Neural Computing & Applications 6(1): 42-56.
Kuzmanovski, I. and S. Aleksovska (2003). "Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression." Chemometrics and Intelligent Laboratory Systems 67(2): 167-174.
Kvasnicka, V. (1991). "An Application of Neural Networks in Chemistry - Prediction of C-13 Nmr Chemical-Shifts." Journal of Mathematical Chemistry 6(1): 63-76.
Kvasnicka, V. and J. Pospichal (1991). "Application of Neural Networks in Chemistry - Prediction of Product Distribution of Nitration in a Series of Monosubstituted Benzenes." Theochem-Journal of Molecular Structure 81(3-4): 227-242.
Kvasnicka, V., S. Sklenak, et al. (1992). "Application of Neural Networks with Feedback Connections in Chemistry - Prediction of C-13 Nmr Chemical-Shifts in a Series of Monosubstituted Benzenes." Theochem-Journal of Molecular Structure 96: 87-107.
Kvasnicka, V., S. Sklenak, et al. (1992). "Application of Recurrent Neural Networks in Chemistry - Prediction and Classification of C-13 Nmr Chemical-Shifts in a Series of Monosubstituted Benzenes." Journal of Chemical Information and Computer Sciences 32(6): 742-747.
Kwan, Y.-l. and Hong Kong Polytechnic University. Multi-disciplinary Studies. (1997). Application of fuzzy neural network in monthly electric load forecasting. Hong Kong, Multi-disciplinary Studies Hong Kong Polytechnic University: viii, 188 leaves.
Kwock, C. T. "Adaptive Control of a Disk Drive Arm's Microactuator Using Neural Networks." DAI, , 59, no. 01B, (1998): 0348.
Kwon, H. "Implementation of Artificial Neural Networks for Feature Extraction and Classification of Chromosomes." DAI, , 56, no. 10B, (1995): 5678.
Kwon, E. and Y. J. Stephanedes (1994). Comparative evaluation of adaptive and neural-network exit demand prediction for freeway control.
Kwon, O. and University of Maryland at College Park. Dept. of Management Science and Statistics. (1995). Neural network models for prediction, estimation, and optimization : algorithms and applications: x, 226 leaves.
Kwon, O. (1995). "Neural network models for prediction, estimation, and optimization: Algorithms and applications." DAI 57(03B): 2020.
Kwon, Y. I. and B. S. Lim (2001). "A study of creep-fatigue life prediction using an artificial neural network." Metals and Materials International 7(4): 311-317.
Laberge, C., D. Cluis, et al. (2000). "Metal bioleaching prediction in continuous processing of municipal sewage with Thiobacillus ferrooxidans using neural networks." Water Research 34(4): 1145-1156.
Labossiere, P. and N. Turkkan (1993). "Failure Prediction of Fiber-Reinforced Materials with Neural Networks." Journal of Reinforced Plastics and Composites 12(12): 1270-1280.
LaBree, L. D. (1994). The use of a neural network for the prediction of angiographic outcome in patients with coronary atherosclerosis after treatment: iv, 40 leaves.
Lacey, B., T. K. Hamrita, et al. (2000). "Feasibility of using neural networks for real-time prediction of poultry deep body temperature responses to stressful changes in ambient temperature." Applied Engineering in Agriculture 16(3): 303-308.
Lachtermacher, G. and J. D. Fuller (1995). "Backpropagation in time-series forecasting." Journal of Forecasting 14(4): 381.
Lacroix, R., F. Salehi, et al. (1997). "Effects of data preprocessing on the performance of artificial neural networks for dairy yield prediction and cow culling classification." Transactions of the Asae 40(3): 839-846.
Ladunga, I., F. Czako, et al. (1991). "Improving Signal Peptide Prediction Accuracy by Simulated Neural Network." Computer Applications in the Biosciences 7(4): 485-487.
Lae, R., S. Lek, et al. (1999). "Predicting fish yield of African lakes using neural networks." Ecological Modelling 120(2-3): 325-335.
Laffey, J. G., J. F. Boylan, et al. (2000). "A simple artificial neural network (ANN) can help predict residual neuromuscular blockade." Anesthesia and Analgesia 90(2): U138-U138.
Laffey, J. G., E. Tobin, et al. (2003). "Assessment of a simple artificial neural network for predicting residual neuromuscular block." British Journal Of Anaesthesia 90(1): 48-52.
Laguna, M. and R. Martâi (2002). "Neural network prediction in a system for optimizing simulations." IIE Transactions 34(3): 10.
Laguna, M. and R. Marti (2002). "Neural network prediction in a system for optimizing simulations." Iie Transactions 34(3): 273-282.
Lai, S. and M. Serra (1997). "Concrete strength prediction by means of neural network." Construction and Building Materials 11(2): 93-98.
Lai, L. L., H. Subasinghe, et al. (1999). Object-oriented Genetic Algorithm based Artificial Neural Network for load forecasting. Simulated Evolution and Learning. Berlin, SPRINGER-VERLAG BERLIN. 1585: 462-469.
Lai, P., S. Chuang, et al. (2000). "Power Load Forecasting using Neural Canonical Correlates." Proceedings 2 2: 455-458.
Lakany, H. M., G. M. Hayes, et al. (1997). A neural network for moving light display trajectory prediction. Edinburgh, University of Edinburgh Dept. of Artificial Intelligence.
Lam, M. "Neural network techniques for financial performance prediction: integrating fundamental and technical analysis." Decision Support Systems In Press, Corrected Proof.
Lam, K. W. (1999). Application of neural network to study share price volatility: iv, 73 leaves.
Lam, S. S. Y. (1999). "Improved prediction and validation using resampled neural networks: Committee networks and hybrid validation." DAI 60(09B): 4819.
Lam, S. S. Y., K. L. Petri, et al. (2000). "Prediction and optimization of a ceramic casting process using a hierarchical hybrid system of neural networks and fuzzy logic." Iie Transactions 32(1): 83-91.
Lamedica, R., A. Prudenzi, et al. (1996). "A neural network based technique for short-term forecasting of anomalous load periods." Ieee Transactions on Power Systems 11(4): 1749-1756.
Lammers, R. L., D. L. Hudson, et al. (2003). "Prediction of traumatic wound infection with a neural network-derived decision model." The American Journal Of Emergency Medicine 21(1): 1-7.
Lamoureux, J. A. "Savings in Occasion Setting: Computational and Empirical Analyses of a Neural Network Model of Conditioning." DAI, , 59, no. 04B, (1998): 1892.
Landt, F. W. (1997). Stock Prediction using Neural Networks, Leiden University: 62.
Landy, M. S. "The Formation of Cell Assemblies: A Neural Network Simulation." DAI, , 42, no. 09B, (1981): 3751.
Lang, E. W., L. H. Pitts, et al. (1997). "Outcome after severe head injury: an analysis of prediction based upon comparison of neural network versus logistic regression analysis." Neurological Research 19(3): 274-280.
Lansing, L. L. (1994). A neural network approach to quantification, modeling and prediction of driving comfort.
Lansky, P. and R. Rodriguez (1999). "Two-compartment stochastic model of a neuron." Physica D: Nonlinear Phenomena 132(1-2): 267-286.
Lanza, P. A. and J. M. Cosme (2001). "A short-term temperature forecaster based on a novel radial basis functions neural network." International Journal Of Neural Systems 11(1): 71-77.
Lanza, P. A. G. and J. M. Z. Cosme (2002). "A short-term temperature forecaster based on a state space neural network." Engineering Applications of Artificial Intelligence 15(5): 459-464.
Lao, X. (1994). Time series prediction on electrocardiogram data by radial basis function neural networks: 97 leaves.
Lapedes, A., R. Farber, et al. (1987). Nonlinear signal processing using neural networks prediction and system modelling. Los Alamos, NM, Los Alamos National Laboratory.
Lapedes, A., R. Farber, et al. (1987). Nonlinear signal processing using neural networks : prediction and system modelling. Los Alamos, N.M., Los Alamos National Laboratory.
Lapuerta, P., S. Rajan, et al. (1997). "Neural networks as predictors of outcomes in alcoholic patients with severe liver disease." Hepatology (Baltimore, Md.) 25(2): 302-306.
Larachi, F. and B. P. A. Granjean (2000). "Comments on "Neural network modeling of structured packing height equivalent to a theoretical plate" and "HETP and pressure drop prediction for structured packing distillation columns using a neural network"." Industrial & Engineering Chemistry Research 39(11): 4437-4437.
Larachi, F. (2001). "Neural network kinetic prediction of coke burn-off on spent MnO2/CeO2 wet oxidation catalysts." Applied Catalysis B: Environmental 30(1-2): 141-150.
Lari-Najafi, H. "Neural Network Approaches to Automated Knowledge Extraction from Raw Data." DAI, , 52, no. 05B, (1991): 2701.
Larkiola, J., P. Myllykoski, et al. (1996). "Prediction of rolling force in cold rolling by using physical models and neural computing." Journal of Materials Processing Technology 60(1-4): 381-386.
Larouche, E. (2002). "Exploration de differentes architectures de reseaux de neurones pour la prediction de la glace atmospherique sur les conducteurs des reseaux electriques (French text)." MAI 40(06): 1609.
Laszewski, G. (1993). Neural Networks for Time Series Forecasting. New York, Science and Technology Center, Syracuse University: 1-40.
Laux, P. C. "Using Artificial Neural Networks to Model the Human Annoyance to Sound (Modulation)." DAI, , 59, no. 08B, (1998): 4415.
Lauzon, N., J. Rousselle, et al. (2000). "Real-time daily flow forecasting using black-box models, diffusion processes, and neural networks." Canadian Journal of Civil Engineering 27(4): 671-682.
Law, R. (1998). "Room occupancy rate forecasting: a neural network approach." International Journal of Contemporary Hospitality Management 10(6): 234–239.
Law, R. and N. Au (1999). "A neural network model to forecast Japanese demand for travel to Hong Kong." Tourism Management 20(1): 89-97.
Law, R. (2000). "Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting." Tourism Management 21(4): 331-340.
Lawrence, S. R., C. L. Giles, et al. (1996). What size neural network gives optimal generalization? : convergence properties of backpropagation. College Park, MD, University of Maryland.
Lawrence, R. (1997). Using Neural Networks to Forecast Stock Market Prices. Department of Computer Science, University of Manitoba: 21.
Lawrence, S., C. L. Giles, et al. (1997). Lessons in Neural Network Training: Overfitting May be Harder than Expected. Proceedings of the Fourteenth National Conference on Artificial Intelligence, Menlo Park, California.
Lay, L. W. "The Application of Neural Networks for Spin Avoidance and Recovery (Flight Test)." DAI, , 58, no. 12B, (1997): 6680.
Lazar, M. and O. Pastravanu (2002). "A neural predictive controller for non-linear systems." Mathematics and Computers in Simulation 60(3-5): 315-324.
Le Baron, B. (1992). "Nonlinear Forecast for the S&P Stock Index." Nonlinear Modelling and Forecasting XII: 381-393.
Le Goff, J. M., L. Lavayssiere, et al. "Nonlinear discriminant analysis and prognostic factor classification in node-negative primary breast cancer using probabilistic neural networks." Anticancer Research 20(3B): 2213-2218.
Lea, J. D., P. Paige-Green, et al. (1999). Neural networks for performance prediction on unsealed roads.
Leane, M. M., I. Cumming, et al. (2003). "The use of artificial neural networks for the selection of the most appropriate formulation and processing variables in order to predict the in vitro dissolution of sustained release minitablets." AAPS PharmSciTech 4(2): E26.
LeBaron, B. D., A. S. Weigend, et al. (1994). Evaluating neural network predictors by bootstrapping. Madison, Wis., Social Systems Research Institute University of Wisconsin.
LeBaron, B. D., A. S. Weigend, et al. (1997). A bootstrap evaluation of the effect of data splitting on financial time series. New York, NY, New York University Leonard N. Stern School of Business.
Lebender, D. and F. W. Schneider (1993). "Neural Nets and the Local Predictor Method Used to Predict the Time-Series of Chemical-Reactions." Journal of Physical Chemistry 97(34): 8764-8769.
Leblanc, C. "Utilization of State Information Via Recurrent Connections in Expert Networks (Neural Networks, Artificial Intelligence)." DAI, , 58, no. 07B, (1997): 3745.
Leblang, R. S. and United States. National Weather Service. Forecast Office. (1990). A neural network forecast demonstration. Bismarck, N.D., National Weather Service Forecast Office.
Lebron, I., M. G. Schaap, et al. (1999). "Saturated hydraulic conductivity prediction from microscopic pore geometry measurements and neural network analysis." Water Resources Research 35(10): 3149-3158.
Lechner, R. J. (1992). A neural network application for R & D expense forecasting: vi, 53 p.
Leduc, D. J. and United States. Forest Service. Southern Research Station. (2001). Predicting diameter distributions of longleaf pine plantations : a comparison between artificial neural networks and other accepted methodologies. Asheville, NC, U.S. Dept. of Agriculture Forest Service Southern Research Station.
Lee, C.-C. "Intelligent Control Based on Fuzzy Logic and Neural Network Theory (Artificial Neural Net)." DAI, , 52, no. 04B, (1990): 2216.
Lee, C. Y. "A Neural Network Model of the Vestibulo-Ocular Reflex." DAI, , 56, no. 01B, (1994): 0102.
Lee, D. T.-F. "Adaptive Pattern Recognition Approach for Dynamic System Control Using Neural Networks (Pattern Recognition)." DAI, , 52, no. 08B, (1991): 4378.
Lee, G. E. "Multi-Modal Prediction and Modelling Using Artificial Neural Networks (Neural Networks, Speech Processing)." DAI, , 53, no. 03B, (1991): 1467.
Lee, J. A. Y. "In-Process Machine Degradation Monitoring and Fault Detection Using a Neural Network Approach." DAI, , 53, no. 09B, (1992): 4906.
Lee, Y. "An Application of Expectancy Theory to Examine Motivation to Use an Expert System in a Bank Loan Decision Context: An Artificial Neural Network Model Approach." DAI, , 54, no. 12A, (1993): 4511.
Lee, K., Y. C. Lee, et al. (1988). Time series prediction using a rational fraction neural networks. Los Alamos, N.M., Los Alamos National Laboratory.
Lee, C.-C. (1989). Modeling the behavioral substrates of associate learning and memory : adaptive neuronal models. Berkeley, Calif., University of California Berkeley Computer Science Division.
Lee, K. Y., Y. T. Cha, et al. (1992). "Short-Term Load Forecasting Using an Artificial Neural Network." Ieee Transactions on Power Systems 7(1): 124-132.
Lee, M. J. and J. T. Chen (1993). "Fluid Property Predictions with the Aid of Neural Networks." Industrial & Engineering Chemistry Research 32(5): 995-997.
Lee, I. M. and J. H. Lee (1996). "Prediction of pile bearing capacity using artificial neural networks." Computers and Geotechnics 18(3): 189-200.
Lee, J. H., D. E. Kim, et al. (1996). "Application of neural networks to flank wear prediction." Mechanical Systems and Signal Processing 10(3): 265-276.
Lee, K. C., I. G. Han, et al. (1996). "Hybrid neural network models for bankruptcy predictions." Decision Support Systems 18(1): 63-72.
Lee, K. C., I. Han, et al. (1996). "Hybrid neural network models for bankruptcy predictions." Decision Support Systems 18(1): 63-72.
Lee, K. C. and S. B. Oh (1996). "An intelligent approach to time series identification by a neural network-driven decision tree classifier." Decision Support Systems 17(3): 183-197.
Lee, I.-M. and J.-H. Lee (1996). "Prediction of pile bearing capacity using artificial neural networks." Computers and Geotechnics 18(3): 189-200.
Lee, J. K. and C. S. Yum (1998). "Judgmental adjustment in time series forecasting using neural networks." Decision Support Systems 22(2): 135-154.
Lee, K. Y., S. McLaughlin, et al. (1998). "Speech enhancement based on neural predictive hidden Markov model." Signal processing : the official publication of the European Association for Signal Processing (EURASIP) 65(3): 10.
Lee, C. S., W. Hwang, et al. (1999). "Fail-are of carbon/epoxy composite tubes under combined axial and torsional loading 1. Experimental results and prediction of biaxial strength by the use of neural networks." Composites Science and Technology 59(12): 1779-1788.
Lee, J. A., D. P. Almond, et al. (1999). "The use of neural networks for the prediction of fatigue lives of composite materials." Composites Part A: Applied Science and Manufacturing 30(10): 1159-1169.
Lee, C. S., W. Hwang, et al. (1999). "Failure of carbon/epoxy composite tubes under combined axial and torsional loading 1. Experimental results and prediction of biaxial strength by the use of neural networks." Composites Science and Technology 59(12): 1779-1788.
Lee, J. and K. Um (2000). "A comparison in a back-bead prediction of gas metal arc welding using multiple regression analysis and artificial neural network." Optics and Lasers in Engineering 34(3): 149-158.
Lee, K.-D. (2001). "Pattern classification and clustering algorithms with supervised and unsupervised neural networks in financial applications." DAI 62(09A): 3101.
Lee, I. and L. Guan (2002). Inter-subband redundancy prediction using neural network for video coding. Advances in Multimedia Information Processing - Pcm 2002, Proceeding. Berlin, SPRINGER-VERLAG BERLIN. 2532: 518-525.
Lee, I. and L. Guan (2002). "Inter-subband Redundancy Prediction Using Neural Network for Video Coding." Lecture notes in computer science(2532): 518-525.
Lee, T. S. and C. C. Chiu (2002). "Neural network forecasting of an opening cash price index." International Journal of Systems Science 33(3): 229-237.
Lee, T.-S. and C.-C. Chiu (2002). "Neural network forecasting of an opening cash price index." International Journal of Systems Science 33(3): 229-237.
Lee, Y. (2002). "Assessment and improvement of neural networks." DAI 63(05B): 2448.
Lee, E. W. M., R. K. K. Yuen, et al. (2002). "Probabilistic inference with maximum entropy for prediction of flashover in single compartment fire." Advanced Engineering Informatics 16(3): 179-191.
Lee, T. L. and D. S. Jeng (2002). "Application of artificial neural networks in tide-forecasting." Ocean Engineering 29(9): 1003-1022.
Lee, T. L., C. P. Tsai, et al. (2002). "Neural network for the prediction and supplement of tidal record in Taichung Harbor, Taiwan." Advances in Engineering Software 33(6): 329-338.
Lee, S. C. (2003). "Prediction of concrete strength using artificial neural networks." Engineering Structures 25(7): 849-857.
Lee, S.-C. (2003). "Prediction of concrete strength using artificial neural networks." Engineering Structures 25(7): 849-857.
Lee J. H., Kim D. E., et al. (1996). "APPLICATION OF NEURAL NETWORKS TO FLANK WEAR PREDICTION." Mechanical Systems and Signal Processing 10(3): 265-276.
Lefebvre, W. C. (2000). "Neural network-based control designs for complex industrial process applications." DAI 61(06B): 3206.
Legenstein, R., H. Markram, et al. (2003). "Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons." Reviews In The Neurosciences 14(1-2): 5-19.
Leggett, C. G. (1998). "Measurement of Gamma(Z Going to Bottom Quark Antibottom Quark)/Gamma(Z Going to Hadrons) Partial Decay Width Using Multiple Independent Tags (Neural Networks, Quarks, Multitags)." DAI 60(07B): 3344.
Lehar, S. M. "Directed Diffusion and Orientational Harmonics: Neural Network Models of Long-Range Boundary Completion through Short-Range Interactions." DAI, , 54, no. 08B, (1994): 4009.
Lehman, J. L. (1993). Developing a model for prediction using artificial neural networks (ANN) : a case study on the application of adaptive resonance theory (ART) to a real world prediction problem: v, 140 leaves.
Lehtokangas, M., J. Saarinen, et al. (1996). "Predictive minimum description length criterion for time series modeling with neural networks." Neural Computation 8(3): 583-593.
Lei, Y. c. (2002). "BP Neural Network Predicting Model for Aluminium Alloy Keyhole Plasma Arc Welding in Vertical Position." Han jie xue bao = Hanjie xuebao 23(Part 6): 41-43.
Leifer, J. and J. I. Mickalonis (2000). "Prediction of aluminum pitting in natural waters via artificial neural network analysis." Corrosion 56(6): 563-571.
Leigh, W., E. Odisho, et al. (2000). Progress report: Improving the stock price forecasting performance of the bull flag heuristic with genetic algorithms and neural networks. Intelligent Problem Solving: Methodologies and Approaches, Prodeedings. Berlin, SPRINGER-VERLAG BERLIN. 1821: 617-622.
Leigh, W., M. Paz, et al. (2002). "An analysis of a hybrid neural network and pattern recognition technique for predicting short-term increases in the NYSE composite index." Omega 30(2): 69-76.
Leigh, W., R. Purvis, et al. (2002). "Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support." Decision Support Systems 32(4): 361-377.
Leiphart, D. (2000). Comparison of linear regression and a probabilistic neural network of predict porosity from 3-d seismic attributes in lower brushy canyon channeled sandstones, southeast New Mexico. Socorro, NM, New Mexico Institute of Mining and Technology: ix, 52 leaves.
Leiphart, D. J. and B. S. Hart (2001). "Comparison of linear regression and a probabilistic neural network to predict porosity from 3-D seismic attributes in Lower Brushy Canyon channeled sandstones, southeast New Mexico." Geophysics 66(5): 1349-1358.
Leisch, F. and K. Hornik (1998). On the stationarity of autoregressive neural network models. CoWAN 98: Cottbuser Workshop Aspekte Neuronalen Lernens. L. Cromme and T. Kolb, Shaker Verlag.
Leistritz, L., E. Kochs, et al. (2002). "Prediction of movement following noxious stimulation during 1 minimum alveolar anesthetic concentration isoflurane/nitrous oxide anesthesia by means of middle latency auditory evoked responses." Clinical Neurophysiology: Official Journal Of The International Federation Of Clinical Neurophysiology 113(6): 930-935.
Lek, S., I. Dimopoulos, et al. (1996). "Predicting phosphorus concentration and phosphorus load from watershed characteristics using backpropagation neural networks." Acta Oecologica-International Journal of Ecology 17(1): 43-53.
Lek, S. and J. F. Guegan (1999). "Artificial neural networks as a tool in ecological modelling, an introduction." Ecological Modelling 120: 65–73.
Lek, S., M. Guiresse, et al. (1999). "Predicting stream nitrogen concentration from watershed features using neural networks." Water Research 33(16): 3469-3478.
Lek, S., M. Guiresse, et al. (1999). "Predicting stream nitrogen concentration from watershed features using neural networks." Water Research 33(16): 3469-3478.
Lemmon, M. D. "Parameter Estimation Using Competitively Inhibited Neural Networks." DAI, , 51, no. 05B, (1990): 2532.
Lemoine, R., B. Fillion, et al. (2003). "Prediction of the gas-liquid volumetric mass transfer coefficients in surface-aeration and gas-inducing reactors using neural networks." Chemical Engineering and Processing 42(8-9): 621-643.
Lendl, M., U. H. Schwarz, et al. (1999). "Nonlinear model-based predictive control of non-depolarizing muscle relaxants using neural networks." Journal Of Clinical Monitoring And Computing 15(5): 271-278.
Lenez, T. and B. Dorizzi (1997). "Predictive Neural Models in Noisy Environment." Lecture notes in computer science(1327): 1041.
Leon, M. A., P. Gader, et al. (1996). "Multiple Neural Network Response Variability as a Predictor of Neural Network Accuracy for Chromosome Recognition." Biomedical sciences instrumentation : proceedings of the ... annual Rocky Mountain Bioengineering Symposium and the ... International ISA Biomedical Sciences Instrumentation Symposium held .. 32: 31.
Leonard, J. A. "A Reliable Neural Network Architecture for Fault Diagnosis and Modelling of Chemical Processes." DAI, , 53, no. 04B, (1992): 1957.
Leonida, M. and Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. (2000). A time-delayed neural network approach to the prediction of the hot metal temperature in a blast furnace: 111 leaves.
Leros, A. P., A. A. Alexandridis, et al. (1998). "Feasibility of neural networks in modelling radio propagation for field strength prediction." International Journal of Communication Systems 11(6): 359-368.
Lesher, G. W. "Neural Networks for Vision and Pattern Recognition: Boundary Completion, Spatial Mapping, and Multidimensional Data Fusion." DAI, , 54, no. 08B, (1994): 4320.
Leshno, M. and Y. Spector (1996). "Neural network prediction analysis: The bankruptcy case." Neurocomputing 10(2): 125-147.
Leung, H. K. Y. "Chaotic Prediction and Modeling of Sea Clutter Using Neural Networks." DAI, , 53, no. 01B, (1991): 0475.
Leung, H. (1991). Chaotic prediction and modeling of sea clutter using neural networks. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Leung, M. T., A. S. Chen, et al. (2000). "Forecasting exchange rates using general regression neural networks." Computers & Operations Research 27(11-12): 1093-1110.
Leung, M. T., A.-S. Chen, et al. (2000). "Forecasting exchange rates using general regression neural networks." Computers & Operations Research 27(11-12): 1093-1110.
Leung, P. and L. T. Tran (2000). "Predicting shrimp disease occurrence: artificial neural networks vs. logistic regression." Aquaculture 187(1-2): 35-49.
Leung, A. W. T., C. M. Tam, et al. (2000). "Comparative study of artificial neural networks and multiple regression analysis for predicting hoisting times of tower cranes." Building and Environment 36(4): 457-467.
Leung, A. W. T., C. M. Tam, et al. (2001). "Comparative study of artificial neural networks and multiple regression analysis for predicting hoisting times of tower cranes." Building and Environment 36(4): 457-467.
Leung, H., T. Lo, et al. (2001). "Prediction of noisy chaotic time series using an optimal radial basis function neural network." Ieee Transactions on Neural Networks 12(5): 1163-1172.
Leven, S. (1996). "The roots of backpropagation: From ordered derivatives to neural networks and political forecasting : By Paul J. Werbos. New York: John Wiley. $54.95, 319 pages, ISBN 0-471-59897-6." Neural Networks 9(3): 543-544.
Levin, L. A. (1992). "A Neural Network Predicts Character-Recognition Deficits in Patients with Low Vision." Investigative Ophthalmology & Visual Science 33(4): 1417-1417.
Levin, A. U., T. K. Leen, et al. (1994). Fast Pruning Using Principal Components. Advances in Neural Information Processing Systems 6, Morgan Kaufmann Publishers.
Levin, Y. and M. E. Fisher (1996). "Criticality in the hard-sphere ionic fluid." Physica A: Statistical and Theoretical Physics 225(2): 164-220.
Levinski, O. (2002). Use of artificial neural networks for buffet loads prediction. Developments in Applied Artificail Intelligence, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2358: 9-16.
Levy, R. (2001). "Neuronal activity in the subthalamic nucleus and globus pallidus of patients with Parkinson's disease." DAI 62(11B): 4969.
Lewis, S. M. (1994). Predicting a manufacturing process variable using artificial neural network models : a compression molding case study: vii, 46 leaves.
Lezos, G. (1998). Neural network & fuzzy logic techniques for time series forecasting: vii, 97 leaves.
Li, J. "Neural Network and Linear Prediction for Underwater Signal Estimation." MAI, , 34, no. 02, (1995): 0832.
Li, J. U. N. "Oil Tanker Markets Modeling, Analysis and Forecasting Using Neural Networks, Fuzzy Logic and Genetic Algorithms." DAI, , 58, no. 05B, (1997): 2657.
Li, M., K. Mehrotra, et al. (1990). Sunspot numbers forecasting using neural networks. Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on.
Li, M. (1990). Forecasting sunspot numbers using neural networks. Syracuse, N.Y., School of Computer and Information Science Syracuse University.
Li, Y., R. L. Mahajan, et al. (1994). "Design Factors and Their Effect on Pcb Assembly Yield - Statistical and Neural-Network Predictive Models." Ieee Transactions on Components Packaging and Manufacturing Technology Part A 17(2): 183-191.
Li, J. (1995). Neural network and linear prediction for underwater signal estimation. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Li, H. and V. Li (1996). "Forecasting house rental levels: Analytical rent model versus neural network." Journal of Urban Planning and Development-Asce 122(4): 118-127.
Li, C. (1997). Using neural networks to predict phase behavior: ix, 86 leaves.
Li, W. G., L. D. D. Sa, et al. (1998). "Prediction of the level of Paraguay river using neural networks." Pesquisa Agropecuaria Brasileira 33: 1791-1797.
Li, X. and S. Xiao (1998). "PLENARY SESSION II - Session 19: Poster Session - MOTION ANALYSIS - Voluntary Movement Control of Human Elbow Joint Based on Neural Network Predictive Model." Critical reviews in biomedical engineering 26(5): 2.
Li, X., C. L. Ang, et al. (1999). "An intelligent business forecaster for strategic business planning." Journal of Forecasting 18(3): 181-204.
Li, S. (1999). Artificial neural networks applied for wind power estimation and forecast: xi, 128 leaves.
Li, S. (1999). "Artificial Neural Networks Applied for Wind Power Estimation and Forecast." DAI 60(08B): 4128.
Li, X. P., K. Iynkaran, et al. (1999). "A hybrid machining simulator based on predictive machining theory and neural network modelling." Journal of Materials Processing Technology 89-90: 224-230.
Li, L.-K. and B. K. S. Cheung (2000). Learning and forecasting foreign exchange rates using recurrent neural network dynamics. Montréal, GERAD École des hautes études commerciales.
Li, L.-K., B. K. S. Cheung, et al. (2000). Learning and forecasting foreign exchange rates using recurrent neural network dynamics. Montréal, Groupe d'études et de recherche en analyse des décisions.
Li, H., L. Xu, et al. (2000). "Prediction of molar absorptivities of color reagents and their color reactions with yttrium by artificial neural networks." Journal of Rare Earths 18(4): 302-307.
Li, X., S. W. Simpson, et al. (2000). "Neural networks for online prediction of quality in gas metal arc welding." Science and Technology of Welding and Joining 5(2): 71-79.
Li, Y. Y. and J. Bridgwater (2000). "Prediction of extrusion pressure using an artificial neural network." Powder Technology 108(1): 65-73.
Li, K. P. and T. L. Chen (2001). "Nonlinear time series prediction using chaotic neural networks." Communications in Theoretical Physics 35(6): 759-762.
Li, P., D. B. Shan, et al. (2001). "Prediction of flow stress of Ti-15-3 alloy with artificial neural network." Transactions of Nonferrous Metals Society of China 11(1): 95-97.
Li, X. C., Y. Y. Yang, et al. (2001). "Application of neural network in precision prediction of hat-section profiles in rotary draw bending." Journal of Materials Science & Technology 17(1): 137-138.
Li, C. and Z. Guo (2002). Short-term system marginal price forecasting with hybrid module. Proceedings International Conference on Power System Technology.
Li, Q.-D., Z.-X. Chi, et al. (2002). Application of rough set theory and artificial neural network for load forecasting. Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on.
Li, S. and D. Zhao (2002). Prediction of road traffic accidents loss using improved wavelet neural network. TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering.
Li, E. G., L. Jia, et al. (2002). "A genetic neural fuzzy system-based quality prediction model for injection process." Computers & Chemical Engineering 26(9): 1253-1263.
Li, K. P. and T. L. Chen (2002). "Phase space prediction model using neural networks." Communications in Theoretical Physics 38(3): 313-316.
Li, M. Q., D. J. Chen, et al. (2002). "An adaptive prediction model of grain size for the forging of Ti-6Al-4V alloy based on fuzzy neural networks." Journal of Materials Processing Technology 123(3): 377-381.
Li, E., L. Jia, et al. (2002). "A genetic neural fuzzy system-based quality prediction model for injection process." Computers & Chemical Engineering 26(9): 1253-1263.
Li, M., X. Liu, et al. (2002). "Prediction of the mechanical properties of forged TC11 titanium alloy by ANN." Journal of Materials Processing Technology 121(1): 1-4.
Li, Q., L. Dong, et al. (2002). "Development of a quantitative structure-property relationship model for predicting the electrophoretic mobilities." Computers & Chemistry 26(3): 245-251.
Li, Q. X. (2003). "Microwave brightness temperature prediction of plane targets by a neural network." Ieee Transactions on Geoscience and Remote Sensing 41(1): 160-162.
Liang, H. (1994). Predicting insulator pollution using a nonfully connected recurrent neural network: viii, 106 leaves.
Liang, C. (2001). Prediction of microbial activity during biosolids composting using artificial neural networks: ix, 73 leaves.
Liang, R.-H. and C.-C. Cheng (2002). "Short-term load forecasting by a neuro-fuzzy based approach." International Journal of Electrical Power & Energy Systems 24(2): 103-111.
Liao, K.-P. and R. Fildes "The accuracy of a procedural approach to specifying feedforward neural networks for forecasting." Computers & Operations Research In Press, Corrected Proof.
Liao, L. (1998). Neural network prediction of toxicity of organic chemicals: iv, 60 leaves.
Liao, N. F. and Z. Y. Gao (1999). "A comparative study of a CRT colorimetric prediction model by neural networks and the models by conventional method." Color Research and Application 24(1): 45-51.
Liao, G.-C. and T.-P. Tsao (2004). "Application of fuzzy neural networks and artificial intelligence for load forecasting." Electric Power Systems Research 70(3): 237-244.
Liberati, D., E. Setti, et al. (1994). "Application of a Neural-Network to Predict the Outcome of a Kidney-Transplantation." Aei Automazione Energia Informazione 81(7-8): 733-736.
Lickteig, K. M. (2000). "Genetic control of cholinergic motor neuron differentiation in Caenorhabditis elegans." DAI 61(11B): 5668.
Licznar, P. and M. A. Nearing (2003). "Artificial neural networks of soil erosion and runoff prediction at the plot scale." CATENA 51(2): 89-114.
Liebrand, W. B. G., A. Nowak, et al. (1998). Computer modeling of social processes. London ; Thousand Oaks, Calif., SAGE.
Lightbody, G. "Identification and Control Using Neural Networks." DAI, , 55, no. 04C, (1993): 1294.
Lightbody, G. and G. W. Irwin (1996). "Multi-layer perceptron based modelling of nonlinear systems." Fuzzy Sets and Systems 79(1): 93-112.
Ligtenberg, J. H. and A. G. Wansink (2001). "Neural network prediction of permeability in the El Garia Formation, Ashtart oilfield, offshore Tunisia." Journal of Petroleum Geology 24(4): 389-404.
Ligtenberg, J. H. and A. G. Wansink (2001). "Neural network prediction of permeability in the E1 Garia Formation, Ashtart oilfield, offshore Tunisia." Journal of petroleum geology 24(Part 4): 389-404.
Ligtenberg, J. H. and A. G. Wansink (2003). "Neural Network Prediction of Permeability in the El Garia Formation, Ashtart Oilfield, Offshore Tunisia." Developments in petroleum science 51: 397-412.
Liliac, M. M., K. Yamamoto, et al. (2001). "A neural network prediction for the graphite nucleation and morphology in modified cast irons." International Journal of Cast Metals Research 14(3): 157-164.
Lim, C. W., S. Fujiwara, et al. (2002). "Prediction of human skin permeability using a combination of molecular orbital calculations and artificial neural network." Biological & Pharmaceutical Bulletin 25(3): 361-366.
Lim, C. W., S.-i. Fujiwara, et al. (2002). "Prediction of human skin permeability using a combination of molecular orbital calculations and artificial neural network." Biological & Pharmaceutical Bulletin 25(3): 361-366.
Lim, C. P., S. S. Quek, et al. (2003). "Prediction of drug release profiles using an intelligent learning system: an experimental study in transdermal iontophoresis." Journal Of Pharmaceutical And Biomedical Analysis 31(1): 159-168.
Lin, C.-C. "Integration of Machinery Condition Monitoring and Reliability Modeling: A Prelude to Predictive Maintenance (Neural Network, Cmac)." DAI, , 56, no. 04B, (1995): 2251.
Lin, C.-F. J. "The Econometrics of Structural Change, Neural Network and Panel Data Analysis." DAI, , 53, no. 05A, (1992): 1624.
Lin, C.-T. "Structure and Parameter Learning Algorithms for Fuzzy Neural Network Systems." DAI, , 53, no. 08B, (1992): 4290.
Lin, D.-T. "The Adaptive Time-Delay Neural Network: Characterization and Applications to Pattern Recognition, Prediction and Signal Processing (Forecasting)." DAI, , 56, no. 04B, (1994): 2221.
Lin, S. "The Self-Organizing Feature Map: Learning Characteristics, Applications, and Dynamic Topology-Representing Networks (Neural Networks, Unsupervised Learning, Vector Quantization, Signal Processing)." DAI, , 58, no. 03B, (1997): 1446.
Lin, C.-C. (1993). Using neural networks to do time series forecasting: viii, 147 leaves.
Lin, D.-T. (1994). The adaptive time-delay neural network : characterization and applications to pattern recognition, prediction and signal processing: xxv, 214 leaves.
Lin, Z. (1995). Neural computation of plasma prediction: xi, 52 leaves.
Lin, S. H., R. S. Zhang, et al. (1997). "Neural network - Topological indices approach to the prediction of properties of alkene." Journal of Chemical Information and Computer Sciences 37(6): 1146-1151.
Lin, J. C. and C. C. Tai (1999). "The application of neural networks in the prediction of spring-back in an L-shaped bend." International Journal of Advanced Manufacturing Technology 15(3): 163-170.
Lin, J. C. (2002). "Prediction of rolling force and deformation in three-dimensional cold rolling by using the finite-element method and a neural network." International Journal of Advanced Manufacturing Technology 20(11): 799-806.
Lin, C.-S., Y.-C. Li, et al. (2002). "Neural network modeling to predict the hypnotic effect of propofol bolus induction." Proceedings / AMIA ... Annual Symposium. AMIA Symposium: 450-454.
Lin, G., X. Jia, et al. (2003). "Predict SARS infection with the small world network model." Beijing Da Xue Xue Bao 35(Supplement): 66-69.
Lin, H. Y., W. Chen, et al. (2003). "Long-term prediction of nonlinear hydrodynamics in bubble columns by using artificial neural networks." Chemical Engineering and Processing 42(8-9): 611-620.
Lin, J. C. (2003). "Using FEM and neural network prediction on hydrodynamic deep drawing of T-piece maximum length." Finite Elements in Analysis and Design 39(5-6): 445-456.
Linder, R., E. Reinhold-Keller, et al. (2003). "Use of an artificial neural network to predict cancer development in patients with inflammatory myopathy: comment on the letter by Selva O'Callaghan et al." Arthritis And Rheumatism 48(4): 1168-1169; author reply 1169-1170.
Lindsay, J. B., J. Q. Shang, et al. (2002). "Using complex permittivity and artificial neural networks for contaminant prediction." Journal of Environmental Engineering-Asce 128(8): 740-747.
Ling, Q. (1998). Design of automotive joints using response surface polynomials and neural networks. Blacksburg, Va., University Libraries Virginia Polytechnic Institute and State University.
Ling, S. H., F. H. F. Leung, et al. (2003). "A novel genetic-algorithm-based neural network for short-term load forecasting." Ieee Transactions on Industrial Electronics 50(4): 793-799.
Lingras, P., S. Sharma, et al. (2002). Prediction of recreational travel using genetically designed regression and time-delay neural network models.
Lingras, P., S. Sharma, et al. (2002). Prediction of recreational travel using genetically designed regression and time-delay neural network models. Travel Demand and Land Use 2002. Washington, TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL: 16-24.
Linkins, D. A. (1994). Intelligent control in biomedicine. London ; Bristol, PA, Taylor & Francis.
Linko, P. and Y. H. Zhu (1991). "Neural Network Programming in Bioprocess Variable Estimation and State Prediction." Journal of Biotechnology 21(3): 253-269.
Linko, P. and Y. H. Zhu (1992). "Neural Network Modeling for Real-Time Variable Estimation and Prediction in the Control of Glucoamylase Fermentation." Process Biochemistry 27(5): 275-283.
Lint, J. W. C. v., S. P. Hoogendoorn, et al. (2002). Freeway travel time prediction with state-space neural networks : modeling state-space dynamics with recurrent neural networks.
Liong, S. Y., W. H. Lim, et al. (2000). "River stage forecasting in Bangladesh: Neural network approach." Journal of Computing in Civil Engineering 14(1): 1-8.
Lippmann, R. P. and D. M. Shahian (1997). "Coronary artery bypass risk prediction using neural networks." The Annals Of Thoracic Surgery 63(6): 1635-1643.
Lischeid, G. (2001). "Investigating trends of hydrochemical time series of small catchments by artificial neural networks." Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere 26(1): 15-18.
Lisi, F., O. Nicolis, et al. (1995). "Combining Singular-Spectrum Analysis and Neural Networks for Time-Series Forecasting." Neural Processing Letters 2(4): 6-10.
Lisi, F. and R. A. Schiavo (1999). "A comparison between neural networks and chaotic models for exchange rate prediction." Computational Statistics & Data Analysis 30(1): 87-102.
Littell, M. C. and Wichita State University. Dept. of Industrial and Manufacturing Engineering. (2000). Artificial neural networks applied with expert forecasts of three macroeconomic indicators. Wichita, Kan., Wichita State University Department of Industrial and Manufacturing Engineering.
Liu, H. U. I. "Adaptive Image and Video Compression Using Vector Quantization and Self-Organizing Neural Networks." DAI, , 56, no. 02B, (1994): 1010.
Liu, X. "An Artificial Neural Network Approach to Assess Project Cost and Time Risks at the Front End of Projects." MAI, , 37, no. 02, (1998): 0655.
Liu, Y. "Automatic Speech Recognition Using Neural Network Classifiers (Speech Recognition)." DAI, , 53, no. 10B, (1992): 5297.
Liu, Y.-C. "Adaptive Intelligent Traffic Management in Atm Networks (Neural Networks, Fuzzy Logic, Scheduling)." DAI, , 56, no. 12B, (1995): 6868.
Liu, S.-S., H.-L. Liu, et al. "VSMP: a novel variable selection and modeling method based on the prediction." Journal Of Chemical Information And Computer Sciences 43(3): 964-969.
Liu, X. (1994). A comparison study of feedforward fully connected neural networks vs. cascade correlation networks for prediction of soil moisture content: vii, 90 leaves.
Liu, Y. (1995). "Unbiased Estimate of Generalization Error and Model Selection in Neural Network." Neural Networks 8(2): 215-219.
Liu, M. C., H. X. Zhang, et al. (1996). "The prediction of cation exchange distribution coefficients with artificial neural network." Chemical Journal of Chinese Universities-Chinese 17(5): 698-701.
Liu, Z. Y., W. D. Wang, et al. (1996). "Prediction of the mechanical properties of hot-rolled C-Mn steels using artificial neural networks." Journal of Materials Processing Technology 57(3-4): 332-336.
Liu, Z. Y., W.-D. Wang, et al. (1996). "Prediction of the mechanical properties of hot-rolled C---Mn steels using artificial neural networks." Journal of Materials Processing Technology 57(3-4): 332-336.
Liu, H. X., T. Chen, et al. (1997). "Predicting grinding burn using artificial neural networks." Journal of Intelligent Manufacturing 8(3): 235-237.
Liu, M. M. (1998). Dynamic muscle force prediction from EMG signals using artificial neural networks. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Liu, W. (1998). Harmonic signal prediction using neural networks: viii, 67 leaves.
Liu, G. P., V. Kadirkamanathan, et al. (1998). "Predictive control for non-linear systems using neural networks." International Journal of Control 71(6): 1119-1132.
Liu, L., X. G. Shao, et al. (1998). "Prediction of the atomic electron affinities using a Wavelet Neural Network." Chinese Chemical Letters 9(2): 203-206.
Liu, C. W., M. C. Su, et al. (1999). "Application of a novel fuzzy neural network to real-time transient stability swings prediction based on synchronized phasor measurements." Ieee Transactions on Power Systems 14(2): 685-692.
Liu, L., W. G. Li, et al. (1999). "Association constant prediction for the inclusion of alpha-cyclodextrin with benzene derivatives by an artificial neural network." Journal of Inclusion Phenomena and Macrocyclic Chemistry 34(3): 291-298.
Liu, Y. (1999). "Negative correlation learning and evolutionary design of neural network ensembles." DAI 60(12B): 6203.
Liu, Y. and X. Yao (1999). Time series prediction by using negatively correlated neural networks. Simulated Evolution and Learning. Berlin, SPRINGER-VERLAG BERLIN. 1585: 333-340.
Liu, M. M., W. Herzog, et al. (1999). "Dynamic muscle force predictions from EMG: an artificial neural network approach." Journal Of Electromyography And Kinesiology: Official Journal Of The International Society Of Electrophysiological Kinesiology 9(6): 391-400.
Liu, M. M., W. Herzog, et al. (1999). "Dynamic muscle force predictions from EMG: an artificial neural network approach." Journal of Electromyography and Kinesiology 9(6): 391-400.
Liu, G. P. and S. Daley (1999). "Output-model-based predictive control of unstable combustion systems using neural networks." Control Engineering Practice 7(5): 591-600.
Liu, J. (2000). "Neural networks for setting target corn yields." DAI 61(05B): 2634.
Liu, J. T., H. B. Chang, et al. (2000). "Prediction of the flow stress of high-speed steel during hot deformation using a BP artificial neural network." Journal of Materials Processing Technology 103(2): 200-205.
Liu, P. and Y. Y. Cheng (2000). "Expression and prediction of the pVT properties of linear alkanes using fuzzy neural networks." Acta Chimica Sinica 58(10): 1230-1234.
Liu, J., H. Chang, et al. (2000). "Prediction of the flow stress of high-speed steel during hot deformation using a BP artificial neural network." Journal of Materials Processing Technology 103(2): 200-205.
Liu, Y. and X. Yao (2001). Evolving neural networks for Hang Seng stock index forecast. Proceedings of the 2001 Congress on Evolutionary Computation., Seoul, South Korea.
Liu, J. (2001). "Prediction of the molecular weight for a vinylidene chloride/vinyl chloride resin during shear-related thermal degradation in air by using a back-propagation artificial neural network." Industrial & Engineering Chemistry Research 40(24): 5719-5723.
Liu, L. M., M. L. Zhu, et al. (2001). "Predicting effects of diffusion welding parameters on welded joint properties by artificial neural network." Transactions of Nonferrous Metals Society of China 11(4): 475-478.
Liu, W. and P. N. Jiao (2001). "Prediction of disturbances in the ionosphere by using the artificial neural network." Chinese Journal of Geophysics-Chinese Edition 44(1): 24-30.
Liu, W. (2002). "ARTMAP neural network for land cover classification and multisensor fusion in remote sensing." DAI 62(10A): 3515.
Liu, B.-F., J.-F. Zhang, et al. (2002). "Predicting and evaluating separation quality of micellar electrokinetic capillary chromatography by artificial neural networks." Electrophoresis 23(9): 1279-1284.
Liu, E.-d., G.-l. Yang, et al. (2002). "Application of resilient backpropagation neural network in predicting hydrophobic parameters of alkylbenzenes." Se Pu = Chinese Journal Of Chromatography / Zhongguo Hua Xue Hui 20(3): 216-218.
Liu, J., H. H. G. Savenije, et al. (2003). "Forecast of water demand in Weinan City in China using WDF-ANN model." Physics and Chemistry of the Earth, Parts A/B/C 28(4-5): 219-224.
Llinþas, R. R. (2001). I of the vortex : from neurons to self. Cambridge, Mass. ; London, MIT Press.
Lo, J. Y., J. A. Baker, et al. (1997). "Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features." Radiology 203(1): 159-163.
Lo, J. Y., J. A. Baker, et al. (1999). "Effect of patient history data on the prediction of breast cancer from mammographic findings with artificial neural networks." Academic Radiology 6(1): 10-15.
Lobell, M., L. Molnar, et al. (2003). "Recent advances in the prediction of blood-brain partitioning from molecular structure." Journal Of Pharmaceutical Sciences 92(2): 360-370.
Lock, M. W. B. and A. A. Mohamed (2000). "Low-alloy steel weldment creep life prediction using neural network analysis of ultrasonic backscattering." Insight 42(4): 251-257.
Lockwood, G. G. and I. Aleksander (2003). "Predicting the behaviour of G-RAM networks." Neural Networks: The Official Journal Of The International Neural Network Society 16(1): 91-100.
Loeb, D. M. "The Role of Trk and Secondary Signaling Molecules in Ngf- Mediated Neuronal Differentiation (Tyrosine Kinase)." DAI, , 54, no. 02B, (1993): 0753.
Logar, A. M. "Recurrent Neural Networks and Time Series Prediction (Neural Networks)." DAI, , 53, no. 12B, (1992): 6397.
Logar, A. M. (1992). Recurrent neural networks and time series prediction: xi, 188 leaves.
Logeswaran, R. (2002). "A prediction-based neural network scheme for lossless data compression." Ieee Transactions on Systems Man and Cybernetics Part C-Applications and Reviews 32(4): 358-365.
Lohmann, R., G. Schneider, et al. (1994). "A Neural-Network Model for the Prediction of Membrane-Spanning Amino-Acid-Sequences." Protein Science 3(9): 1597-1601.
Lohninger, H. (1993). "Evaluation of Neural Networks Based on Radial Basis Functions and Their Application to the Prediction of Boiling Points from Structural Parameters." Journal of Chemical Information and Computer Sciences 33(5): 736-744.
Loi, K. S., S. H. Tan, et al. (1995). Use of neural networks to forecast the trend of stock index using various inputs: 1 v. (various pagings).
Lombardi, C. and A. Mazzola (1997). "Prediction of two-phase mixture density using artificial neural networks." Annals of Nuclear Energy 24(17): 1373-1387.
Long, L. "Design-Oriented Translators for Automotive Joints (Neural Network, Response Surface Polynomials)." DAI, , 59, no. 12B, (1998): 6464.
Longo, J. M. "Selecting Superior Securities: Using Discriminant Analysis and Neural Networks to Differentiate between 'Winner' and 'Loser' Stocks." DAI, , 56, no. 09A, (1995): 3684.
Loot, G., J.-L. Giraudel, et al. (2002). "A non-destructive morphometric technique to predict Ligula intestinalis L. plerocercoid load in roach (Rutilus rutilus L.) abdominal cavity." Ecological Modelling 156(1): 1-11.
Lopes, M. L. M., C. R. Minussi, et al. (2000). A fast electric load forecasting using neural networks. Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on.
Lopes, M. L. M., C. R. Minussi, et al. (2003). "Electrical load forecasting formulation by a fast neural network." Engineering Intelligent Systems for Electrical Engineering and Communications 11(1): 51-57.
Lora, A. T., J. R. Santos, et al. (2002). "Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours." Lecture notes in computer science(2453): 321-330.
Lorde, J. N. (1998). Predicting temperature profiles in producing oil wells using artificial neural networks: xviii, 401 leaves.
Lou, Y. "Recognition of Protein Coding Regions in Human Genomic DNA (Pattern Recognition, Hidden Markov Model, Gene Recognition, Neural Network)." DAI, , 58, no. 10B, (1997): 5244.
Lou, Z. (1999). Road surface crack condition forecasting using a backpropagation neural network model: vii, 88 leaves.
Lou, Z., J. J. Lu, et al. (1999). Road surface crack condition forecasting using neural network models. Tampa, Fla., College of Engineering University of South Florida.
Lou, W. and S. Nakai (2001). "CHEMICAL CHANGES DURING PROCESSING/STORAGE - Artificial Neural Network-Based Predictive Model for Bacterial Growth in a Simulated Medium of Modified-Atmosphere-Packed Cooked Meat Products." Journal of agricultural and food chemistry 49(4): 6.
Lou, W. G. and S. Nakai (2001). "Application of artificial neural networks for predicting the thermal inactivation of bacteria: a combined effect of temperature, pH and water activity." Food Research International 34(7): 573-579.
Lou, W. and S. Nakai (2001). "Artificial neural network-based predictive model for bacterial growth in a simulated medium of modified-atmosphere-packed cooked meat products." Journal Of Agricultural And Food Chemistry 49(4): 1799-1804.
Lou, W. and S. Nakai (2001). "Application of artificial neural networks for predicting the thermal inactivation of bacteria: a combined effect of temperature, pH and water activity." Food Research International 34(7): 573-579.
Loukas, Y. L. (2000). "Radial basis function networks in host-guest interactions: instant and accurate formation constant calculations." Analytica Chimica Acta 417(2): 221-229.
Loukas, Y. L. (2001). "Quantitative structure-binding relationships (QSBR) and artificial neural networks: improved predictions in drug:cyclodextrin inclusion complexes." International Journal Of Pharmaceutics 226(1-2): 207-211.
Lowell, W. E. and G. E. Davis (1994). "Predicting Length of Stay for Psychiatric Diagnosis-Related Groups Using Neural Networks." Journal of the American Medical Informatics Association 1(6): 459-466.
Lowell, W. E. and G. E. Davis (1995). "Predicting Length of Stay for Psychiatric Diagnosis-Related Groups Using Neural Networks - Reply." Journal of the American Medical Informatics Association 2(3): 202-203.
Lowell, W., G. Davis, et al. (1997). "A field trial using artificial neural networks to predict psychiatric in-patient length-of-stay." Neural Computing & Applications 5(3): 184-193.
Lu, P.-C. "The Deterministic and Non-Deterministic Models for the Predictions of Crack Growth Rates of Type 304 Stainless Steel (Neural Network)." DAI, , 55, no. 06B, (1994): 2350.
Lu, W. and J. Tan "Analysis of image-based measurements and USDA characteristics as predictors of beef lean yield." Meat Science In Press, Corrected Proof.
Lu, W.-Z., W.-J. Wang, et al. "Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong." Environmental Research In Press, Corrected Proof.
Lu, C. N., H. T. Wu, et al. (1993). "Neural Network Based Short-Term Load Forecasting." Ieee Transactions on Power Systems 8(1): 336-342.
Lu, M. L., C. McGreavy, et al. (1997). "Prediction of thermal conductivity of pure liquids and mixtures using neural network." Journal of Chemical Engineering of Japan 30(3): 412-420.
Lu, P. C. (1997). "Using neural network techniques to predict crack growth rates of stress corrosion." International Journal of Materials & Product Technology 12(4-6): 329-345.
Lu, T.-L. (1998). Forecasting with artificial neural networks and genetic algorithms: xv, 180 leaves.
Lu, R. S., J. L. Lai, et al. (1998). "Predicting solute transfer to surface runoff using neural networks." Water Science and Technology 38(10): 173-180.
Lu, R.-S., J.-L. Lai, et al. (1998). "Predicting solute transfer to surface runoff using neural networks." Water Science and Technology 38(10): 173-180.
Lu, W. Z., H. Y. Fan, et al. (2003). "Application of evolutionary neural network method in predicting pollutant levels in downtown area of Hong Kong." Neurocomputing 51: 387-400.
Lu, M. (2003). "Discussion of "Neural network forecast model in deep excavation" by J.C. Jan, Shih-Lin Hong, S.Y. Chi, and J.C. Chern." Journal of Computing in Civil Engineering 17(3): 208-208.
Lubis, H. Y. (2000). "Initial public offering prediction using neural network." DAI 61(11B): 5963.
Lubis, H. Y. (2001). Initial public offering prediction using neural network: xi, 178 leaves.
Luchetta, A. and S. Manetti "A real time hydrological forecasting system using a fuzzy clustering approach." Computers & Geosciences In Press, Corrected Proof.
Luchetta, A., S. Manetti, et al. (1998). "Forecast: A neural system for diagnosis and control of highway surfaces." Ieee Intelligent Systems & Their Applications 13(3): 20-26.
Luciano, J. S. (1996). Neural network modeling of unipolar depression : patterns of recovery and prediction of outcome: xviii, 164 leaves.
Luciano, J. S., Jr. (1996). "Neural network modeling of unipolar depression: Patterns of recovery and prediction of outcome." DAI 57(02B): 985.
LUCIFREDI, A., C. MAZZIERI, et al. (2000). "APPLICATION OF MULTIREGRESSIVE LINEAR MODELS, DYNAMIC KRIGING MODELS AND NEURAL NETWORK MODELS TO PREDICTIVE MAINTENANCE OF HYDROELECTRIC POWER SYSTEMS." Mechanical Systems and Signal Processing 14(3): 471-494.
Luebbers, P. G. "An Artificial Neural Network Architecture for Interpolation, Function Approximation, Time Series Modeling and Control Applications (Neural Network, Controllers)." DAI, , 55, no. 01B, (1994): 6677.
Luebbers, P. G. (1994). An artificial neural network architecture for interpolation, function approximation, time series modeling and control applications: xxv, 311 leaves.
Luis, C. J. and Y. Garces (2002). "Hot metal temperature prediction by neural networks in blas furnace." Revista De Metalurgia 38(4): 270-287.
Luk, K. C., J. E. Ball, et al. (2000). "A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting." Journal of Hydrology 227(1-4): 56-65.
Luk, K. C., J. E. Ball, et al. (2001). "An application of artificial neural networks for rainfall forecasting." Mathematical and Computer Modelling 33(6-7): 683-693.
Lukatch, H. S. "Synaptic Mechanisms of Synchronized Neocortical Micro-Eeg Activity (Neuronal Synchrony, Electroencephalogram)." DAI, , 58, no. 07B, (1997): 3493.
Lula, P. (1999). Jednokierunkowe sieci neuronowe w modelowaniu zjawisk ekonomicznych. Kraków, Wydawn. Akademii Ekonomicznej.
Luna, F. "Learning in a Computable Setting: Invisible Hands, Neural Networks, and Institutions (Cooperation)." DAI, , 57, no. 08A, (1996): 3622.
Luna, L. F. (2001). Lumpy demand forecasting modeling approach using neural networks: xii, 115 leaves.
Lund, O., K. Frimand, et al. (1997). "Protein distance constraints predicted by neural networks and probability density functions." Protein Engineering 10(11): 1241-1248.
Lundin, J. (1998). "Artificial neural networks in outcome prediction." Annales Chirurgiae Et Gynaecologiae 87(2): 128-130.
Lundin, M., J. Lundin, et al. (1999). "Artificial neural networks applied to survival prediction in breast cancer." Oncology 57(4): 281-286.
Lundstedt, H. (1992). "Neural Networks and Predictions of Solar Terrestrial Effects." Planetary and Space Science 40(4): 457-464.
Lundstedt, H. and P. Wintoft (1994). "Prediction of Geomagnetic Storms from Solar-Wind Data with the Use of a Neural-Network." Annales Geophysicae-Atmospheres Hydrospheres and Space Sciences 12(1): 19-24.
Lundstedt, H. (1996). "Solar origin of geomagnetic storms and prediction of storms with the use of neural networks." Surveys in Geophysics 17(5): 561-573.
Lundstrom, J., L. Rychlewski, et al. (2001). "Pcons: a neural-network-based consensus predictor that improves fold recognition." Protein Science: a Publication Of The Protein Society 10(11): 2354-2362.
Luo, H. "Damage Detection and Health Monitoring of Structures Using Dynamic Response and Neural Network Techniques (Delamination, Composite)." DAI, , 57, no. 07B, (1996): 4662.
Luo, F. L., Y. D. Li, et al. (1996). "Neural network approach to the TLS linear prediction frequency estimation problem." Neurocomputing 11(1): 31-42.
Luo, L. Q., A. Ji, et al. (1998). "Focusing on one component each time - Comparison of single and multiple component prediction algorithms in artificial neural networks for x-ray fluorescence analysis." X-Ray Spectrometry 27(1): 17-22.
Luo, L. Q. (2000). "Predictability comparison of four neural network structures for correcting matrix effects in X-ray fluorescence spectrometry." Journal of Trace and Microprobe Techniques 18(3): 349-360.
Luong, L. H. S. and T. A. Spedding (1995). "A Neural-Network System for Predicting Machining Behavior." Journal of Materials Processing Technology 52(2-4): 585-591.
Luongo, G., C. Marandola, et al. (2004). "Neural forecasting of seismicity and ground displacements in different volcanic areas." Journal of Volcanology and Geothermal Research 130(1-2): 133-146.
Lupo, J. A., S. B. Fairchild, et al. (1994). "Biomolecular Structure Prediction with Parallelized Protean2 and Neural Networks." Abstracts of Papers of the American Chemical Society 207: 181-COMP.
Lupo, J. A., R. Pachter, et al. (1995). Biomolecular Structure Prediction Using the Double-Iterated Kalman Filter and Neural Networks. Parallel Computing in Computational Chemistry. Washington, AMER CHEMICAL SOC. 592: 202-210.
Lusted, M. J. (1991). The application of neural networks to discrete time series in order to predict future values from past values. St Lucia, Qld. ,: 1 v.
Luther, R. K. "Predicting the Outcome of Chapter 11 Bankruptcy: An Artificial Neural Network Approach." DAI, , 55, no. 05A, (1993): 1342.
Luther, R. K. (1993). Predicting the outcome of Chapter 11 bankruptcy : an artificial neural network approach: xiv, 152 leaves.
Luxhoj, J. T., J. O. Riis, et al. (1996). "A hybrid econometric-neural network modeling approach for sales forecasting." International Journal of Production Economics 43(2-3): 175-192.
Luxhoj, J. T., J. O. Riis, et al. (1996). "A hybrid econometric--neural network modeling approach for sales forecasting." International Journal of Production Economics 43(2-3): 175-192.
Luxhoj, J. T., T. P. Williams, et al. (1997). "Comparison of regression and neural network models for prediction of inspection profiles for aging aircraft." Iie Transactions 29(2): 91-101.
Lye, S. W. and S. Chuchom (1997). "A neural predictive model for characterising impact cushioning curves." Engineering applications of artificial intelligence 10(6): 639.
Lynn, P. J. "System Interaction in Human Memory and Amnesia: Theoretical Analysis and Connectionist Modeling (Neural Networks, Inductive Memory)." DAI, , 56, no. 02B, (1994): 0923.
Lynn N., Shapiro J., et al. (2003). "Use of artificial neural network to predict the early recurrence of superficial bladder cancer." European Urology Supplements 2(1): 193.
Lyons, G. D. (1996). Urban traffic management : the viability of short term congestion forecasting using artificial neural networks.
Lysenko, M. G. (1998). Prediction and error correction of neutron diffusion eigenvalues using artificial neural networks: 50 leaves.
Lysenko, M. G., H. I. Wong, et al. (1999). "Neural network and perturbation theory hybrid models for eigenvalue prediction." Nuclear Science and Engineering 132(1): 78-89.
Ma, H. (1994). Short-term load forecasting using fuzzy neural networks: vii, 75 leaves.
Ma, N., T. Nishi, et al. (1998). "On a code-excited nonlinear predictive speech coding (CENLP) by means of recurrent neural networks." Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences E81A(8): 1628-1634.
Ma, Q. (2000). "Knowledge discovery in biological databases: A neural network approach." DAI 61(08B): 4254.
Ma, L. X., C. M. Cheng, et al. (2002). "Predicting melting temperature (T-m) of oligoribonucleotide duplex by neural network." Journal of Chemometrics 16(2): 75-80.
Ma-WenXiao, Bai-XiaoMin, et al. (2002). Short-term load forecasting with artificial neural network and fuzzy logic. Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on.
Maas, O., J. P. Boulanger, et al. (2000). "Use of neural networks for predictions using time series: Illustration with the El Nino Southern oscillation phenomenon." Neurocomputing 30(1-4): 53-58.
Maas, O., J.-P. Boulanger, et al. (2000). "Use of neural networks for predictions using time series: Illustration with the El Nino Southern oscillation phenomenon." Neurocomputing 30(1-4): 53-58.
Maasoumi, E. and J. Racine (2002). "Entropy and predictability of stock market returns." Journal of Econometrics 107(1-2): 291-312.
Maass, W., T. Natschlager, et al. (2002). "Real-time computing without stable states: A new framework for neural computation based on perturbations." Neural Computation 14(11): 2531-2560.
Macdonald, K. A. "Neuronal Activity in the Human Medial Temporal Lobe During Paired Associate Learning (Memory, Hippocampus)." DAI, , 59, no. 09B, (1998): 4659.
Maciejewska, M. M. (2001). "Neuronowe modele prognostyczne i neuronowa metoda interpolacji stezen imisyjnych Translated: Neural prediction models and neural interpolation method of air pollutant concentrations." DAI 63(02C): 245.
Mackay, D. J. C. "Bayesian Methods for Adaptive Models (Neural Networks)." DAI, , 53, no. 06B, (1992): 3132.
Mackay, D. J. C. (1995). "Probable Networks and Plausible Predictions - a Review of Practical Bayesian Methods for Supervised Neural Networks." Network-Computation in Neural Systems 6(3): 469-505.
Mackenzie, I., W. McCracken, et al. (1997). "A pilot investigation into the use of vestibulometric measures in predicting neural pathways in relation to vibrotactile stimulation." Scandinavian audiology. Supplementum(47): 5.
Maclin, R. F. "Learning from Instruction and Experience: Methods for Incorporating Procedural Domain Theories into Knowledge- Based Neural Networks (Machine Learning)." DAI, , 56, no. 11B, (1995): 6233.
Maclin, R. (1995). Learning from instruction and experience : methods for incorporating procedural domain theories into knowledge-based neural networks. Madison, Wis., University of Wisconsin-Madison Computer Sciences Dept.: xiii, 162 p.
Macones, G. A., N. Hausman, et al. (2001). "Predicting outcomes of trials of labor in women attempting vaginal birth after cesarean delivery: a comparison of multivariate methods with neural networks." American Journal Of Obstetrics And Gynecology 184(3): 409-413.
Macpherson, K. (1993). "Neural-Network Computation Techniques Applied to Solar-Activity Prediction." Advances in Space Research 13(9): 447-450.
Macpherson, K. P., A. J. Conway, et al. (1995). "Prediction of Solar and Geomagnetic-Activity Data Using Neural Networks." Journal of Geophysical Research-Space Physics 100(A11): 21735-21744.
Macrossan, P. E., H. A. Abbass, et al. (1999). Bayesian neural network learning for prediction in the Australian dairy industry. Advances in Intelligent Data Analysis, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 1642: 395-406.
Madden, J. E., N. Avdalovic, et al. (2001). "Prediction of retention times for anions in linear gradient elution ion chromatography with hydroxide eluents using artificial neural networks." Journal Of Chromatography. A 910(1): 173-179.
Magdisiuk, I. and A. Borisov (2000). "Cascade-correlated architecture of neural network in problems of classification and prediction." Automatic Control and Computer Sciences 34(4): 27-33.
Magembe, G. (2002). Predicting concrete chloride penetration using neural networks: vii, 91 leaves.
Mager, J. S. (1996). Prediction of performance of solar domestic hot water systems using artificial neural networks: xxi, 222 leaves.
Magnus Aberg, K. and S. P. Jacobsson (2001). "Pre-processing of three-way data by pulse-coupled neural networks--an imaging approach." Chemometrics and Intelligent Laboratory Systems 57(1): 25-36.
Maguire, L. P., B. Roche, et al. (1998). "Predicting a chaotic time series using a fuzzy neural network." Information Sciences 112(1-4): 125-136.
Mahajan, S. (1994). Passenger demand forecasting using artificial neural networks : application in the airline industry: 98 leaves.
Mahoney, D. W. (1993). Statistical forecasting : using exponential smoothing and artificial neural networks.
Mai, W. and G. Henneberger (1999). "Prediction of the eddy-current and temperature distribution in a TFIH device using neural networks in order to improve the convergence of the finite element calculations." Ieee Transactions on Magnetics 35(3): 1586-1589.
Maier, H. R., N. Morgan, et al. "Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters." Environmental Modelling & Software In Press, Corrected Proof.
Maier, H. R., G. C. Dandy, et al. (1993). The application of artificial neural networks to the prediction of salinity. Adelaide, S. Aust., Dept. of Civil and Environmental Engineering University of Adelaide.
Maier, H. R., G. C. Dandy, et al. (1994). Use of neural networks for determining the inputs for miltivariate time series models. Adelaide, S. Aust., Dept. of Civil and Environmental Engineering University of Adelaide.
Maier, H. R. and G. C. Dandy (1994). Use of neural networks for determining the inputs for multivariate time series models. Adelaide, University of Adelaide Department of Civil and Environmental Engineering.
Maier, H. R. (1995). Use of artificial neural networks for modelling multivariate water quality time series: 2 v.
Maier, H. R., G. C. Dandy, et al. (1995). Comparison of the Box-Jenkins procedure with artificial neural network methods for univariate time series modelling / by H.R. Maier, G.C. Dandy. Adelaide, Department of Civil and Environmental Engineering University of Adelaide.
Maier, H. R. and G. C. Dandy (1995). Comparison of the Box-Jenkins procedure with artificial neural network methods for univariate time series modelling. Adelaide, S. Aust., Dept of Civil and Environmental Engineering University of Adelaide.
Maier, C. C. (1996). Using statistically implemented neural networks to forecast S & P 500 futures contract prices: ix, 53 leaves.
Maier, H. R. and G. C. Dandy (1996). "The use of artificial neural networks for the prediction of water quality parameters." Water Resources Research 32(4): 1013-1022.
Maier, H. and G. Dandy (1997). "The use of artificial neural networks for the prediction of water quality parameters - Reply." Water Resources Research 33(10): 2425-2427.
Maier, H. R. and G. C. Dandy (1999). "Empirical comparison of various methods for training feed-forward neural networks for salinity forecasting." Water Resources Research 35(8): 2591-2596.
Maier, H. R. and G. C. Dandy (2000). "Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications." Environmental Modelling and Software 15(1): 101-124.
Maier, H. R. and G. C. Dandy (2001). "Neural Network Based Modelling of Environmental Variables: A Systematic Approach." Mathematical and Computer Modelling 33: 669-682.
Maifeld, T. and G. Sheble (1994). "Short-Term Load Forecasting by a Neural-Network and a Refined Genetic Algorithm." Electric Power Systems Research 31(3): 147-152.
Maifeld, T. and G. Sheble (1994). "Short-term load forecasting by a neural network and a refined genetic algorithm." Electric Power Systems Research 31(3): 147-152.
Majcen, N., K. Rajerkanduc, et al. (1995). "Modeling of Property Prediction from Multicomponent Analytical Data Using Different Neural Networks." Analytical Chemistry 67(13): 2154-2161.
Majid, A. (1996). Neural networks and economic forecasting : a working model: v, 29 leaves.
Majumdar, S. and P. R. Shukla (1997). "Electric load forecasting using artificial neural networks and deficit management." Energy Sources 19(8): 771-782.
Makino, K., T. Shimada, et al. (1996). "Daily peak electric load forecasting using an artificial neural network and an improvement method for reducing the forecasting errors." Electrical Engineering in Japan 116(5): 28-42.
Makridakis, S. and M. Hibon (2000). "The M3-Competition: results, conclusions and implications." International Journal of Forecasting 16: 451-476.
Malinov, S., W. Sha, et al. (2000). "Application of artificial neural network for prediction of time-temperature-transformation diagrams in titanium alloys." Materials Science and Engineering A 283(1-2): 1-10.
Malinova, T., N. Pantev, et al. (2001). "Prediction of surface hardness after ferritic nitrocarburising of steels using artificial neural networks." Materials Science and Technology 17(2): 168-174.
Malliaris, M. and L. Salchenberger (1996). "Using neural networks to forecast the S & P 100 implied volatility." Neurocomputing 10(2): 183-195.
Malmgren, H. (1999). "For classification and predictive purposes, simulated neural networks (SNNs; more often called artificial neural networks, ANNs) offer a powerful alternative to traditional statistical analyses." Epilepsia 40(9): 1323-1324.
Manda, R. K. (1999). An investigation of neural network algorithms for the prediction of aerodynamic coefficients: viii, 68 leaves.
Mandal, M., A. K. Mandal, et al. (1994). "On Estimation and Prediction of Myocardial-Infarction Size Using Artificial Neural-Network." Journal of Scientific & Industrial Research 53(11): 831-839.
Mandal, S. (2001). "Back-propagation neural network in tidal-level forecasting - Discussion." Journal of Waterway Port Coastal and Ocean Engineering-Asce 127(1): 55-55.
Mandava, P. "Vowel Sequence Processing by Cochlear Nucleus Neurons." DAI, , 54, no. 08B, (1993): 4011.
Mandic, D. P. and J. A. Chambers (1998). "A posteriori real-time recurrent learning schemes for a recurrent neural network based nonlinear predictor." Iee Proceedings-Vision Image and Signal Processing 145(6): 365-370.
Mandic, D. P., J. A. Chambers, et al. (2001). Recurrent neural networks for prediction learning algorithms, architectures, and stability. Chichester ; New York, John Wiley: xxi, 285 p.
Mandic, D. P. and J. A. Chambers (2001). Recurrent neural networks for prediction : learning algorithms, architectures, and stability. Chichester ; New York, John Wiley.
Mandischer, M., H. Geyer, et al. (1999). Neural networks and evolutionary algorithms for the prediction of thermodynamic properties for chemical engineering. Simulated Evolution and Learning. Berlin, SPRINGER-VERLAG BERLIN. 1585: 106-113.
Mandziuk, J. and R. Mikolajczak (2002). "Chaotic time series prediction with feed-forward and recurrent neural nets." Control and Cybernetics 31(2): 383-406.
Manel, S., J. M. Dias, et al. (1999). "Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird." Ecological Modelling 120(2-3): 337-347.
Manel, S., J.-M. Dias, et al. (1999). "Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird." Ecological Modelling 120(2-3): 337-347.
Mani, G., K.-K. Quah, et al. (1995). "An analysis of neural-network forecasts from a large-scale, real-world stock selection system." Proceedings of the IEEE/IAFE Computational Intelligence for Financial Engineering, 1995.: 72-78.
Manukian, N., J. Neuhaus, et al. (1994). "Multiparameter Process Prediction with Neural Networks." Isa Transactions 33(4): 329-338.
Manukian, N., G. Wilensky, et al. (1994). "Multi-Parameter Process Prediction with Neural Networks." Advances in instrumentation and control : proceedings of the ISA ... International Conference and Exhibit 49(1): 29.
Manukian, N., J. Neuhaus, et al. (1994). "Multi-parameter process prediction with neural networks." ISA Transactions 33(4): 329-338.
Mao, W. L., H. W. Tsao, et al. (2003). "Cancellation of narrowband interference in GPS receivers using NDEKF-based recurrent neural network predictors." Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences E86A(4): 954-960.
Maravelias, C. D., J. Haralabous, et al. (2003). "Predicting demersal fish species distributions in the Mediterranean Sea using artificial neural networks." Marine Ecology-Progress Series 255: 249-258.
Marchevsky, A. M., K. J. Wiley, et al. (1998). "Reasoning with uncertainty in pathology: Neural networks may predict survival in stage I and II non-small cell carcinoma of the lung patients." Modern Pathology 11(1): 178A-178A.
Marchevsky, A. M., S. Patel, et al. (1998). "Artificial neural networks and logistic regression as tools for prediction of survival in patients with Stages I and II non-small cell lung cancer." Modern Pathology: An Official Journal Of The United States And Canadian Academy Of Pathology, Inc 11(7): 618-625.
Marchevsky, A. M., S. Shah, et al. (1999). "Reasoning with uncertainty in pathology: artificial neural networks and logistic regression as tools for prediction of lymph node status in breast cancer patients." Modern Pathology: An Official Journal Of The United States And Canadian Academy Of Pathology, Inc 12(5): 505-513.
Marciniak, M. (1996). A methodology for the prediction of the empennage in-flight loads of a general aviation aircraft using backpropagation neural networks: viii, 53 leaves, bound.
Mardijono, D. (1998). Artificial neural network for short term load forecasting using seasonal partitioning method: 1 v. (various pagings).
Mariani, L., D. Coradini, et al. (1997). "Prognostic factors for metachronous contralateral breast cancer: a comparison of the linear Cox regression model and its artificial neural network extension." Breast Cancer Research And Treatment 44(2): 167-178.
Marin, F. J. and F. Sandoval (1997). Short-term peak load forecasting: Statistical methods versus Artificial Neural Networks. Biological and Artificial Computation: From Neuroscience to Technology. Berlin 33, SPRINGER-VERLAG BERLIN. 1240: 1334-1343.
Marin, F. J., F. Garcia-Lagos, et al. (2002). "Global model for short-term load forecasting using artificial neural networks." Iee Proceedings-Generation Transmission and Distribution 149(2): 121-125.
Marinaro, M., R. Tagliaferri, et al. (1999). Neural nets, WIRN Vietri-99 : proceedings of the 11th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 20-22 May 1999. London, Springer.
Marinaro, M., R. Tagliaferri, et al. (1999). Neural nets, WIRN Vietri-98 : proceedigns of the Tenth Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, 21-23 May 1998. London, Springer.
Markham, I. S. "An Exploration of the Robustness of Traditional Regression Analysis Versus Analysis Using Backpropagation Networks (Neural Networks, Data Analysis)." DAI, , 53, no. 03A, (1992): 0869.
Markham, I. S. and C. T. Ragsdale (1995). "Combining Neural Networks and Statistical Predictions to Solve the Classification Problem in Discriminant-Analysis." Decision Sciences 26(2): 229-242.
Markus, M. "Application of Neural Networks in Streamflow Forecasting." DAI, , 58, no. 06B, (1997): 2929.
Markus, M. (1997). Application of neural networks in streamflow forecasting: ix, 336 leaves.
Markus, M., C. W. S. Tsai, et al. (2003). "Uncertainty of weekly nitrate-nitrogen forecasts using artificial neural networks." Journal of Environmental Engineering-Asce 129(3): 267-274.
Markuzon, N. (1996). Neural networks for supervised learning and prediction, with applications to character recognition and medical database analysis: xviii, 129 leaves.
Marpaka, D. R. "Artificial Neural Network-Based Transient Stability Regions of Power Systems (Stability)." DAI, , 52, no. 01B, (1990): 0302.
MARQUES, F. D. and J. ANDERSON (2001). "IDENTIFICATION AND PREDICTION OF UNSTEADY TRANSONIC AERODYNAMIC LOADS BY MULTI-LAYER FUNCTIONALS." Journal of Fluids and Structures 15(1): 83-106.
Marquez, L., T. Hill, et al. (1991). Neural network models as an alternative to regression. System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on.
Marquez, L., T. Hill, et al. (1992). Neural network models for forecast: a review. System Sciences, 1992. Proceedings of the Twenty-Fifth Hawaii International Conference on.
Marseguerra, M., S. Minoggio, et al. (1992). "Neural networks prediction and fault diagnosis applied to stationary and non stationary ARMA modeled time series." Progress in nuclear energy 27(1): 25-36.
Marseguerra, M., E. Zio, et al. (2003). Predicting reliability via neural networks. Annual Reliability and Maintainability Symposium, 2003 Proceedings. New York, I E E E: 196-201.
Marsh, J. W., S. D. Finkelstein, et al. (2003). "Genotyping of hepatocellular carcinoma in liver transplant recipients adds predictive power for determining recurrence-free survival." Liver Transplantation: Official Publication Of The American Association For The Study Of Liver Diseases And The International Liver Transplantation Society 9(7): 664-671.
Marshall, J. (1998). "Using neural networks to predict patient satisfaction." Journal of the American Medical Informatics Association: 1040-1040.
Marshall, J. A. and V. Srikanth (2000). "Curved trajectory prediction using a self-organizing neural network." International Journal Of Neural Systems 10(1): 59-70.
Marshall, D. B. and D. J. English (2000). "Neural Network Modeling of Risk Assessment in Child Protective Services." Psychological Methods 5(1): 102-124.
Martelli, P. L., P. Fariselli, et al. (2002). "Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy." Protein Science: a Publication Of The Protein Society 11(11): 2735-2739.
Martelli, P. L., P. Fariselli, et al. (2002). "Prediction of the disulfide bonding state of cysteines in proteins with hidden neural networks." Protein Engineering 15(12): 951-953.
Martelli, P. L., P. Fariselli, et al. (2003). "An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins." Bioinformatics (Oxford, England) 19(1): I205-I211.
Martens, S. "Neural Networks for Satellite Remote Sensing and Robotic Sensor Interpretation (Artmap, Sensor Fusion, Pattern Recognition)." DAI, , 59, no. 10B, (1999): 5446.
Martin, S. "Surveillance En Ligne Par Reseaux Neuronaux Des Systemes Asservis (French Text, Neural Networks, Hydraulic Generator)." MAI, , 35, no. 05, (1996): 1485.
Martin, D. L. "An Intelligent Diagnostic Strategy for Improved Wheelchair Operation (Neural Networks)." DAI, , 55, no. 05B, (1994): 1958.
Martin, C. O., D. Tranel, et al. (2000). "Neural networks can be trained to predict neuropsychological performances from lesion analysis." Neurology 54(7): A312-A312.
Martinelli, G. and R. Perfetti (1994). "Least-Squares Spectrum Estimation through a Neural-Network Inverse Predictor Structure." Iee Proceedings-Vision Image and Signal Processing 141(1): 67-70.
Martinetz, T. M., S. G. Berkovich, et al. (1993). "Neural-Gas Network for Vector Quantization and Its Application to Time-Series Prediction." Ieee Transactions on Neural Networks 4(4): 558-569.
Martinez, S. E., A. E. Smith, et al. (1994). "Reducing waste in casting with a predictive neural model." Journal of intelligent manufacturing 5(4): 277.
Martou, G. G. (2000). "Nuclear topology of murine, cerbellar Purkinje neurons: Changes as a function of postnatal development." MAI 39(03): 771.
Marusic, S. and G. Deng (2002). "Adaptive prediction for lossless image compression." Signal Processing: Image Communication 17(5): 363-372.
Marx-Gomez, J., C. Rautenstrauch, et al. (2002). "Neuro-fuzzy approach to forecast returns of scrapped products to recycling and remanufacturing." Knowledge-Based Systems 15(1-2): 119-128.
Marzban, C. and G. J. Stumpf (1996). "A neural network for tornado prediction based on Doppler radar-derived attributes." Journal of Applied Meteorology 35(5): 617-626.
Marzban, C. and G. J. Stumpf (1998). "A neural network for damaging wind prediction." Weather and Forecasting 13(1): 151-163.
Marzban, C. and A. Witt (2001). "A Bayesian neural network for severe-hail size prediction." Weather and Forecasting 16(5): 600-610.
Mashor, M. Y. (2002). "5 Managing Hydrological Risks: Methods - On-line short-term streamflow forecasting using neural networks." IAHS publication 274: 8.
Mashudi, M. R. (2001). Forecasting water demand using neural networks in the operation of reservoirs in Citarum Cascade, West Java, Indonesia: x, 234 leaves.
Mashudi, M. R. (2001). "Forecasting water demand using neural networks in the operation of reservoirs in Citarum Cascade, West Java, Indonesia." DAI 61(10B): 5538.
Masic, N. and G. Pfurtscheller (1992). Neural network based classification of simulated EEG data : sensitivity analysis. Graz, Austria, Institutes for Information Processing Graz.
Masic, N., G. Pfurtscheller, et al. (1995). "Neural-Network-Based Predictions of Hand Movements Using Simulated and Real Eeg Data." Neurocomputing 7(3): 259-274.
Masic, N., G. Pfurtscheller, et al. (1995). "Neural network-based predictions of hand movements using simulated and real EEG data." Neurocomputing 7(3): 16.
Masic, N., L. Matijevic, et al. (1996). "Neural network-based predictions of hand movements using EEG data." Periodicum biologorum 98(1): 77.
Maskara, A. K. "Recurrent Neural Networks and Grammatical Inference." DAI, , 53, no. 12B, (1993): 6397.
Maslennikov, A. I., G. A. Poljakov, et al. (2002). "Prediction of multiplicity of the effect of gas well stimulation processing with use of a neural network." Neftyanoe Khozyaistvo(11): 109-110.
Mason, P. A. "Summation Characteristics of the Neural Network Subserving Self-Stimulation Reward." DAI, , 46, no. 11B, (1985): 4058.
Massie, D. D. "Optimal Neural Network-Based Controller for Ice Storage Systems." DAI, , 59, no. 03B, (1998): 1333.
Massie, D. D., K. D. White, et al. (2002). "Application of neural networks to predict ice jam occurrence." Cold Regions Science and Technology 35(2): 115-122.
Masters, T. (1995). Neural, novel & hybrid algorithms for time series prediction. New York, John Wiley & Sons.
Mastrorillo, S., S. Lek, et al. (1997). "Predicting the abundance of minnow Phoxinus phoxinus (Cyprinidae) in the River Ariege (France) using artificial neural networks." Aquatic Living Resources 10(3): 169-176.
Mastrorillo, S., S. Lek, et al. (1997). "The use of artificial neural networks to predict the presence of small-bodied fish in a river." Freshwater Biology 38(2): 237-246.
Masulli, F., D. Baratta, et al. (2001). Daily rainfall forecasting using an ensemble technique based on singular spectrum analysis. Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on.
Mathews, P. G. and M. S. Shunmugam (1999). "Neural-network approach for predicting hole quality in reaming." International Journal of Machine Tools and Manufacture 39(5): 723-730.
Matis, S. and United States. Dept. of Energy. Office of Health and Environmental Research. (1995). A neural network system for prediction of RNA polymerase II promoters. Oak Ridge, TN, Informatics Group Computer Science and Mathematics Division and Biology Division Oak Ridge National Laboratory.
Matsoukas, C. (1999). Precipitation estimation and forecasting using radar and rain gage [i.e. gauge] measurements with artificial neural networks: xiii, 116 leaves.
Matsoukas, C. (2000). "Precipitation estimation and forecasting using radar and rain gage measurements with artificial neural networks." DAI 61(05B): 2441.
Matsui, H. and M. Fujita (1998). Travel time prediction for freeway traffic information by neural network driven fuzzy reasoning.
Matsui, Y., S. Egawa, et al. (2002). "Artificial neural network analysis for predicting pathological stage of clinically localized prostate cancer in the Japanese population." Japanese Journal Of Clinical Oncology 32(12): 530-535.
Mattfeldt, T., H. A. Kestler, et al. (1999). "Prediction of prostatic cancer progression after radical prostatectomy using artificial neural networks: a feasibility study." BJU International 84(3): 316-323.
Mattfeldt, T., H. A. Kestler, et al. (2001). "Prediction of postoperative prostatic cancer stage on the basis of systematic biopsies using two types of artificial neural networks." European Urology 39(5): 530-536; discussion 537.
Matthes (1993). Zinsprognosen - Fehlerkorrektur vs Neuronale Netze. Finanzmarktanwendungen neuronaler Netze und ökonometrischer Verfahren. Heidelberg, Bol, Georg
Nakhaeizadeh, Gholamreza
Vollmer, Karl-Heinz: 25-40.
Matthies, C., M. Samii, et al. (1997). "Management of vestibular schwannomas (acoustic neuromas): Radiological features in 202 cases - Their value for diagnosis and their predictive importance." Neurosurgery 40(3): 469-481.
Mattioni, B. E. and P. C. Jurs "Prediction of glass transition temperatures from monomer and repeat unit structure using computational neural networks." Journal Of Chemical Information And Computer Sciences 42(2): 232-240.
Mattioni, B. E. and P. C. Jurs (2001). "Prediction of polymer glass transition temperatures from monomer and repeat unit structure using computational neural networks." Abstracts of Papers of the American Chemical Society 222: U405-U405.
Mattioni, B. E. and P. C. Jurs (2002). "Prediction of glass transition temperatures from monomer and repeat unit structure using computational neural networks." Journal of Chemical Information and Computer Sciences 42(2): 232-240.
Mattioni, B. E. and P. C. Jurs (2003). "Prediction of dihydrofolate reductase inhibition and selectivity using computational neural networks and linear discriminant analysis." Journal Of Molecular Graphics & Modelling 21(5): 391-419.
May, M. (2002). "Commentary: Improved coronary risk prediction using neural networks." International Journal Of Epidemiology 31(6): 1262-1264.
Mazak, J. "Transition Control Based on Grey, Neural States (Neural Networks, Grey Box)." DAI, , 58, no. 03C, (1996): 1130.
Mazzatorta, P., E. Benfenati, et al. "The importance of scaling in data mining for toxicity prediction." Journal Of Chemical Information And Computer Sciences 42(5): 1250-1255.
Mazzola, A. (1997). "Integrating artificial neural networks and empirical correlations for the prediction of water-subcooled critical heat flux." Revue Generale de Thermique 36(11): 799-806.
Mbamalu, G., F. ElHawary, et al. (1997). "Decomposition approach to forecasting electric power system commercial load using an artificial neural network." Electric Machines and Power Systems 25(8): 875-883.
McCaffrey, D. F. "Estimating Lyapunov Exponents with Nonparametric Regression and Convergence Rates for Feedforward Single Hidden Layer Networks (Neural Networks, Chaos)." DAI, , 52, no. 03B, (1991): 1533.
McCann, P. J. and B. L. Kalman A Neural Network Model for the Gold Market.
McCann, D. W. (1992). "A Neural Network Short-Term Forecast of Significant Thunderstorms." Weather and Forecasting 7(3): 525-534.
McCluskey, P. (1993). Feedforward and Recurrent Neural Networks and Genetic Programs for Stock Market and Time Series Forecasting. Department of Computer Science. Rhode Island, Brown University: 55.
McCormick, R. J. (2001). "Toward a theory of meso-scale wildfire modeling: A complex systems approach using artificial neural networks." DAI 62(04B): 1693.
McCullough, C. L. (1992). "An Anticipatory Fuzzy-Logic Controller Utilizing Neural Net Prediction." Simulation 58(5): 327-332.
McCullough, C. L. (1992). "An anticipatory fuzzy logic controller utilizing neural net prediction." Simulation 58(5): 327-332.
McDonald, T. P., J. Poertner, et al. (2001). "Predicting placement in foster care: A comparison of logistic regression and neural network analysis." Journal of Social Service Research 28(2): 1-20.
McDowall, T. M. "A Robust Partial Least Squares Neural Network (Robust Learning, Partial Least Squares Regression)." DAI, , 58, no. 04B, (1997): 2043.
McFadden, J., W.-T. Yang, et al. (2001). Application of artificial neural networks to predict speeds on two-lane rural highways.
McFadden, J., W. T. Yang, et al. (2001). Application of artificial neural networks to predict speeds on two-lane rural highways. Geometric Design and the Effects on Traffic Operations 2001. Washington, TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL: 9-17.
McGerald, K. R. (1999). Using artificial neural networks to predict the source of fecal contamination in water samples based on antibiotic resistance: vii, 22 leaves.
McGregor, M. J., T. P. Flores, et al. (1989). "Prediction of Beta-Turns in Proteins Using Neural Networks." Protein Engineering 2(7): 521-526.
McKendry, I. G. (2002). "Evaluation of artificial neural networks for fine particulate pollution (PM10 and PM2.5) forecasting." Journal Of The Air & Waste Management Association (1995) 52(9): 1096-1101.
McKinnell, L. A. and A. W. V. Poole (2000). "The Development of a Neural Network Based Short Term foF2 Forecast Program." Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science 25(4): 287-290.
McKinney, B. B. "Application of Neural Network Technology to Model a Pyrolysis Furnace." MAI, , 32, no. 03, (1993): 1011.
McLoughlin, N. P. "Neural Network Models of Three-Dimensional Surface Perception: Da Vinci Stereopsis and the Mccollough Effect." DAI, , 55, no. 09B, (1995): 3980.
McMenamin, J. S. and F. A. Monforte (1998). "Short term energy forecasting with neural networks." Energy Journal 19(4): 43-61.
McMenamin, S. and F. Monforte (1998). "Papers - Short Term Energy Forecasting with Neural Networks." The energy journal 19(4): 20.
McMillen, R. C. "Neural Networks as Methodological Tools: A Complement to Common Linear Statistical Methods." MAI, , 33, no. 05, (1994): 1592.
McMullen, T. A. "The Question of Intrinsic Inhibition in the Somatosensory Thalamus: Neuronal Firing Patterns and Computer Simulations." DAI, , 41, no. 04B, (1980): 1434.
McVey, E. S., L. D. Taylor, et al. (1992). Artificial neural network implementation of a near-ideal error prediction controller. Charlottesville, Va.
Washington, DC
Springfield, Va.?, Dept. of Electrical Engineering School of Engineering and Applied Science University of Virginia ;
National Aeronautics and Space Administration ;
National Technical Information Service distributor.
McVey, E. S., L. D. Taylor, et al. (1992). Artificial neural network implementation of a near-ideal error prediction controller. Charlottesville, Va.
Washington, DC
Springfield, Va.?, Dept. of Electrical Engineering School of Engineering and Applied Science University of Virginia ;
National Aeronautics and Space Administration ;
National Technical Information Service distributor.
McVey, D. S. (1994). Using a neural network to predict gas storage well performance after hydraulic fracture: ix, 111 leaves.
Meade, N. (1995). "Neural network time series forecasting of financial markets - Azoff,EM." International Journal of Forecasting 11(4): 601-602.
Meade, N. (1995). "Neural network time series forecasting of financial markets : E Michael Azoff, (John Wiley, Chichester) hardback, 194 pp., [UK pound]34.95, ISBN 0471 943568." International Journal of Forecasting 11(4): 601-602.
Meador, A. J. (2002). "Applications in growth and yield of longleaf pine ( Pinus palustris Mill.): A comparison of artificial neural networks and other traditional modeling methodologies." MAI 40(05): 1176.
Mecocci, P., E. Grossi, et al. (2002). "Use of artificial networks in clinical trials: a pilot study to predict responsiveness to donepezil in Alzheimer's disease." Journal Of The American Geriatrics Society 50(11): 1857-1860.
Medeiros, M. C. and A. Veiga (2000). "A hybrid linear-neural model for time series forecasting." Ieee Transactions on Neural Networks 11(6): 1402-1412.
Medeiros, M. C. and C. E. Pedreira (2001). What are the effects of forecasting linear time series with neural networks? Rio de Janeiro, Pontifícia Universidade Católica de Rio de Janeiro Departamento de Economía.
Medeiros, M. C. and C. E. Pedreira (2001). "What are the effects of forecasting linear time series with neural networks?" Engineering Intelligent Systems for Electrical Engineering and Communications 9(4): 237-242.
Medeiros, M. C., T. Teräsvirta, et al. (2002). Building Neural Network Models for Time Series: A Statistical Approach. SSE/EFI Working Paper Series in Economics and Finance. Stockholm, Schweden: 1-47.
Medina, J. R. (2001). "Back-propagation neural network in tidal-level forecasting - Discussion." Journal of Waterway Port Coastal and Ocean Engineering-Asce 127(1): 55-57.
Meena, K. and V. Ganapathy (1995). "Share Price Prediction Using Neural Nets." Computer science and informatics 24(2): 11.
Meghlaoui, A. "Identification Et Controle D'une Cuve D'electrolyse Par Les Reseaux De Neurones (French Text, Alumina, Learning Vector Quantization, Non Predictive Control)." DAI, , 57, no. 07B, (1996): 4557.
Meghlaoui, A., R. T. Bui, et al. (1998). "Predictive control of aluminum electrolytic cells using neural networks." Metallurgical and Materials Transactions B-Process Metallurgy and Materials Processing Science 29(5): 1007-1019.
Mehlman, S. A., P. D. Wentzell, et al. (1998). "Prediction of Simple Physical Properties of Mixed Solvent Systems by Artificial Neural Networks." Analytica Chimica Acta 371(2-3): 117-130.
Mehta, B. V. and L. C. Rabelo (1995). OAINN95 : proceedings of OAI neural networks symposium and workshop. Athens, Ohio, Russ College of Engineering and Technology Ohio University.
Mehta, M. P. (1997). Prediction of manufacturing operations sequence using recurrent neural networks: xi, 202 leaves.
Meiler, J., E. Sanli, et al. "Validation of structural proposals by substructure analysis and 13C NMR chemical shift prediction." Journal Of Chemical Information And Computer Sciences 42(2): 241-248.
Meiler, J., R. Meusinger, et al. (1999). "Neural network prediction of C-13 NMR chemical shifts of substituted benzenes." Monatshefte Fur Chemie 130(9): 1089-1095.
Meiler, J., W. Maier, et al. (2002). "Using neural networks for C-13 NMR chemical shift prediction-comparison with traditional methods." Journal of Magnetic Resonance 157(2): 242-252.
Meiler, J., W. Maier, et al. (2002). "Using neural networks for (13)c NMR chemical shift prediction-comparison with traditional methods." Journal Of Magnetic Resonance (San Diego, Calif.: 1997) 157(2): 242-252.
Meiler, J. (2003). "PROSHIFT: Protein chemical shift prediction using artificial neural networks." Journal Of Biomolecular NMR 26(1): 25-37.
Meir, R. and J. F. Fontanari (1993). "Data-Compression and Prediction in Neural Networks." Physica A 200(1-4): 644-654.
Meir, R. and J. F. Fontanari (1993). "Data compression and prediction in neural networks." Physica A 200(1-4): 644.
MejiaLavalle, M. and G. RodriguezOrtiz (1996). "Flashover forecasting on high-voltage insulators with a backpropagation neural net." Canadian Journal of Electrical and Computer Engineering-Revue Canadienne De Genie Electrique Et Informatique 21(1): 29-32.
Meky, M. M. "Objective Evaluation of Speech Quality over Telecommunication Networks Using Neural Networks (Atm)." DAI, , 59, no. 01B, (1998): 0352.
Melas, D., I. Kioutsioukis, et al. (2000). "Neural network model for predicting peak photochemical pollutant levels." Journal Of The Air & Waste Management Association (1995) 50(4): 495-501.
Meldrum, D. R., C. E. Taylor, et al. (1995). Freeway traffic data prediction using artificial neural networks and development of a fuzzy logic ramp metering algorithm : final technical report, Research Project T9903, Task 5, Neural Network Control Technology. Olympia, Wash., Washington State Dept. of Transportation Washington State Transportation Commission Planning and Programming Service Center in cooperation with the U.S. Dept. of Transportation Federal Highway Administration.
Meldrum, D. R., C. E. Taylor, et al. (1995). Freeway traffic data prediction using artificial neural networks and development of a fuzzy logic ramp metering algorithm. Olympia, Wash.
Springfield, VA, Washington State Dept. of Transportation ;
Available through the National Technical Information Service.
Meley, K. D. "Simulation Analysis of a Nonlinear System with Back- Propagation Networks (Neural Networks)." DAI, , 55, no. 04B, (1995): 1673.
Mello, G., E. Parretti, et al. (2001). "Prediction of the development of pregnancy-induced hypertensive disorders in high-risk pregnant women by artificial neural networks." Clinical Chemistry And Laboratory Medicine: CCLM / FESCC 39(9): 801-805.
Mellouk, A. and P. Gallinari (1993). Continuous speech recognition by neural spectrum prediction systems. Orsay, France, Université Paris-Sud Centre d'Orsay Laboratoire de recherche en Informatique.
Menendez de la Prida, L., N. Stollenwerk, et al. (1997). "Bursting as a source for predictability in biological neural network activity." Physica D: Nonlinear Phenomena 110(3-4): 323-331.
Meng, H. U. A. "A Neural Network Based Strategy for Robot Navigation in Dynamic Environments." DAI, , 55, no. 03C, (1993): 1012.
Mengel, S. A. "Using Neural Networks to Predict Student Behavior in Intelligent Tutoring Systems." DAI, , 52, no. 02B, (1990): 0936.
Mengel, S. A. (1990). Using neural networks to predict student behavior in intelligent tutoring systems: xiv, 152 leaves.
Merchant, R. S. (1993). An adaptive neural networks-based electric load-forecasting system with capibility (sic) to handle cold fronts: xi, 162 leaves.
Messai, N., P. Thomas, et al. (2002). A neural network approach for freeway traffic flow prediction. Control Applications, 2002. Proceedings of the 2002 International Conference on.
Metfessel, B. A. (1992). Neural network methods in the prediction of protein structural class: 131 leaves.
Metfessel, B. A. and P. N. Saurugger (1992). "Neural Network Methods in the Prediction of Protein Structural Class." Abstracts of Papers of the American Chemical Society 203: 44-COMP.
Metfessel, B. A., P. N. Saurugger, et al. (1993). "Cross-Validation of Protein Structural Class Prediction Using Statistical Clustering and Neural Networks." Protein Science 2(7): 1171-1182.
Methaprayoon, K., W. J. Lee, et al. (2003). Neural network-based short term load forecasting for unit commitment scheduling. Industrial and Commercial Power Systems, 2003. 2003 IEEE Technical Conference.
Metzler, R., W. Kinzel, et al. (2001). "Generation of unpredictable time series by a neural network." Physical Review. E, Statistical, Nonlinear, And Soft Matter Physics 63(2): 056126.
Meulenkamp, F. and M. A. Grima (1999). "Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness." International Journal of Rock Mechanics and Mining Sciences 36(1): 29-39.
Meyer, D. E., R. A. Abrams, et al. (1988). "Optimality in Human Motor Performance: Ideal Control of Rapid Aimed Movements,." Psychological Review 95(3): 340-370.
Meyer, B. and H. Gutte (2001). "Application of neural networks in combination with complex thermodynamics for the prediction of creep rupture strength of 9-12 % Cr steels." Steel Research 72(9): 361-365.
Mi, Y. E. "Two-Phase Flow Characterization Based on Advanced Instrumentation, Neural Networks, and Mathematical Modeling (Flow Regime, Slug Flow)." DAI, , 59, no. 08B, (1998): 4434.
Mian, S., G. Ball, et al. (2003). "A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to Paclitaxel and Doxorubicin under in vitro conditions." Proteomics 3(9): 1725-1737.
Miaoquan, L., C. Dunjun, et al. (2002). "An adaptive prediction model of grain size for the forging of Ti-6Al-4V alloy based on fuzzy neural networks." Journal of Materials Processing Technology 123(3): 377-381.
Michaels, R. B. "A Multistage Neural Network Using Local Learning Rules (Parallel Computation, Feedforward, Network Topology, Chaotic Attractors)." DAI, , 59, no. 01B, (1997): 0352.
Michaels, E. K., C. S. Niederberger, et al. (1998). "Use of a neural network to predict stone growth after shock wave lithotripsy." Urology 51(2): 335-338.
Micheli-Tzanakou, E., C. Yi, et al. (1993). "Myocardial Infarction: Diagnosis and Vital Status Prediction Using Neural Networks." Computers in cardiology: 229.
Michelsen, M. L. (2000). "Comments on "design of a combined mixing rule for the prediction of vapor-liquid equilibria using neural networks"." Industrial & Engineering Chemistry Research 39(1): 240-240.
Mihalakakou, G., M. Santamouris, et al. (2000). "The total solar radiation time series simulation in Athens, using neural networks." Theoretical and applied Climatology 66: 185-197.
Mihalakakou, G., H. A. Flocas, et al. (2002). "Application of neural networks to the simulation of the heat island over Athens, Greece, using synoptic types as a predictor." Journal of Applied Meteorology 41(5): 519-527.
Milik, M., D. Sauer, et al. (1998). "Application of an artificial neural network to predict specific class I MHC binding peptide sequences." Nature Biotechnology 16(8): 753-756.
Milik, M., D. Sauer, et al. (1998). "Application of an artificial neural network to predict specific class I MHC binding peptide sequences." Nature Biotechnology 16(8): 753-756.
Minai, A. A. "The Robustness of Feed-Forward Neural Networks: A Preliminary Investigation." DAI, , 53, no. 08B, (1992): 4293.
Minai, A. A. and R. D. Williams (1994). "Perturbation response in feedforward networks." Neural Networks 7(5): 783-796.
Ming, F., M. Yang, et al. (1995). "Identification and Prediction of Protein Adsorption Breakthrough, Desorption, and Fractionation in a Packed-Column Using a Neural-Network." Separation Science and Technology 30(7-9): 1397-1406.
Ming Shi, S., L. Da Xu, et al. (1999). "Improving the accuracy of nonlinear combined forecasting using neural networks." Expert Systems with Applications 16(1): 49-54.
Minocha, V. K. (2003). "Discussion of "Neural network prediction of air stripping K(L)a" by Y. Djebbar and R. M. Narbaitz." Journal of Environmental Engineering-Asce 129(8): 780-781.
Miranda, J. J. (1997). Prediction of wood pulp digester level using artificial neural networks: ix, 120 leaves.
Miranda, V., C. Monteiro, et al. (2001). Spatial offer and demand forecasting with neuro-fuzzy inference systems in GIS. Power Engineering Society Winter Meeting, 2001. IEEE.
Mirmirani, S. and H. C. Li (2001). "The United States' Inflation Forecasting with Neural Networks." Rivista internazionale di scienze economiche e commerciali. International review of economics and business 48(4): 16.
Miti, G. K., A. J. Moses, et al. (2003). "A neural network-based tool for magnetic performance prediction of toroidal cores." Journal of Magnetism and Magnetic Materials 254-255: 262-264.
Mitrovic, P., G. Stojanovski, et al. (2001). "Accuracy of neural network model for prediction of acute myocardial infarction morbidity after previous revascularization; comparison with traditional models." European Heart Journal 22: 222-222.
Mittal, G. S. and J. Zhang (2000). "Use of neural network in predicting sodium ion concentration in frankfurters during smokehouse cooking." Italian Journal of Food Science 12(4): 469-476.
Mittal, G. S. and J. Zhang (2000). "Use of artificial neural network to predict temperature, moisture, and fat in slab-shaped foods with edible coatings during deep-fat frying." Journal of Food Science 65(6): 978-983.
Mittal, G. S. and J. X. Zhang (2000). "Prediction of freezing time for food products using a neural network." Food Research International 33(7): 557-562.
Mittal, G. S. and J. Zhang (2000). "Prediction of freezing time for food products using a neural network." Food Research International 33(7): 557-562.
Mittal, G. S. and J. Zhang (2000). "Prediction of temperature and moisture content of frankfurters during thermal processing using neural network." Meat Science 55(1): 13-24.
Mittal, G. S. and J. Zhang (2001). "Artificial neural network for the prediction of temperature, moisture and fat contents in meatballs during deep-fat frying." International Journal of Food Science and Technology 36(5): 489-497.
Mittal, G. S. and J. Zhang (2002). "Prediction of food thermal process evaluation parameters using neural networks." International Journal Of Food Microbiology 79(3): 153-159.
Mittal, G. S. and J. Zhang (2003). "Artificial Neural Network-based Psychrometric Predictor." Biosystems Engineering 85(3): 283-289.
Miyano, T. and F. Girosi (1994). Forecasting global temperature variations by neural networks. Cambridge, MA, Massachusetts Institute of Technology Artificial Intelligence Laboratory and Center for Biological and Computational Learning Dept. of Brain and Cognitive Sciences.
Miyazaki, S., Y. Kuroda, et al. (2002). "Characterization and prediction of linker sequences of multi-domain proteins by a neural network." J Struct Funct Genomics 2(1): 37-51.
Mizuno, H., M. Kosaka, et al. (1998). "Application Of Neural Network To Technical Analysis Of Stock Market Prediction." Studies in Informatics and Control 7: 1-14.
Mizutani, E., H. Takagi, et al. (1994). A cooperative system of neural networks and genetic algorithm to realize higher precision of computer color recipe prediction : research paper.
Mjolsness, E. "Neural Networks, Pattern Recognition, and Fingerprint Hallucination (Collective Computation)." DAI, , 47, no. 01B, (1986): 0283.
Mlakar, P., M. Boznar, et al. (1994). "Neural Networks Predict Pollution." NATO challenges of modern society 18: 659.
Mobley, B. A., R. Leasure, et al. (1995). "Artificial Neural-Network Predictions of Lengths of Stay on a Post-Coronary Care Unit." Heart & Lung 24(3): 251-256.
Mobley, B. A., R. Leasure, et al. (1995). "Artificial neural network predictions of lengths of stay on a post-coronary care unit." Heart & lung 24(3): 6.
Mobley, B. A., E. Schechter, et al. (2000). "Predictions of coronary artery stenosis by artificial neural network." Artificial Intelligence In Medicine 18(3): 187-203.
Mocenigo, M. and M. Sforna (1996). "Forecasting the demand for electrical power using neural networks." Aei Automazione Energia Informazione 83(12): 50-57.
Modai, I., S. Greenstain, et al. (1998). "Prediction of suicide in psychiatric patients by neural networks." European Psychiatry 13(4): 147s.
Moechtar, M. "Design and Analysis of Neural Genetic Predictors for Transient Stability of Power Systems." DAI, , 57, no. 09B, (1996): 5823.
Moechtar, M. (1996). Design and analysis of neural genetic predictors for transient stability of power systems: x, 184 leaves.
Moerke, T. P. (1992). A neural network and data visualization method for computer response prediction and capacity planning: vii, 86 leaves.
Moh, W. M., M. J. Chen, et al. (1995). "Traffic Prediction and Dynamic Bandwidth Allocation over Atm - a Neural-Network Approach." Computer Communications 18(8): 563-571.
Mohaghegh, S., D. McVey, et al. (1996). "Predicting well-stimulation results in a gas-storage field in the absence of reservoir data with neural networks." Spe Reservoir Engineering 11(4): 268-272.
Mohamad, E. A., M. M. Mansour, et al. (1996). "Results of Egyptian unified grid hourly load forecasting using an artificial neural network with expert system interface." Electric Power Systems Research 39(3): 171-177.
Mohamad, E. A., M. M. Mansour, et al. (1996). "Results of Egyptian unified grid hourly load forecasting using an artificial neural network with expert system interface." Electric Power Systems Research 39(3): 171-177.
Mohamed, A. and G. B. Jasmon (1997). "Neural network approach to dynamic voltage stability prediction." Electric Machines and Power Systems 25(5): 509-523.
Mohamed, E. A., M. M. Mansour, et al. (1998). "Egyptian Unified Grid hourly load forecasting using artificial neural network." International Journal of Electrical Power & Energy Systems 20(7): 495-500.
Mohamed, I. (2000). "A method for the analysis of the MDTF data using neural networks." MAI 40(03): 767.
Mohamed, E. I., R. Linder, et al. (2002). "Predicting Type 2 diabetes using an electronic nose-base artificial neural network analysis." Diabetes Nutrition & Metabolism 15(4): 215-221.
Mohamed, E. I., R. Linder, et al. (2002). "Predicting Type 2 diabetes using an electronic nose-based artificial neural network analysis." Diabetes, Nutrition & Metabolism 15(4): 215-221.
Mohammadian, A. and E. J. Miller (2002). Nested logit models and artificial neural networks for predicting household automobile choices : comparison of performance.
Mohammadian, A. and E. J. Miller (2002). Nested logit models and artificial neural networks for predicting household automobile choices - Comparison of performance. Traveler Behavior and Values 2002. Washington, TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL: 92-100.
Mohammed, O., D. Park, et al. (1995). "Practical Experiences with an Adaptive Neural-Network Short-Term Load Forecasting System." Ieee Transactions on Power Systems 10(1): 254-265.
Mohandes, M. A., S. Rehman, et al. (1998). "A neural networks approach for wind speed prediction." Renewable Energy 13(3): 345-354.
Moharari, N. S. "An Electric Load Forecasting Approach Using Expert Systems and Artificial Neural Networks." DAI, , 54, no. 10B, (1993): 5322.
Moharari, N. S. (1993). An electric load forecasting approach using expert systems and artificial neural networks: xii, 108 leaves.
Mohsenian, N. "Analysis of Subband and Neural Net Models for Image and Video Compression (Image Compression)." DAI, , 53, no. 12B, (1992): 6469.
Mohsenian, N., S. A. Rizvi, et al. (1993). "Predictive Vector Quantization Using a Neural-Network Approach." Optical Engineering 32(7): 1503-1513.
Moisen, G. G. and T. S. Frescino (2002). "Comparing five modelling techniques for predicting forest characteristics." Ecological Modelling 157(2-3): 209-225.
Mok, K. H. (1995). Prediction of speech quality using a neural network: vi, 59 leaves, bound.
Mok, K. M. and S. C. Tam (1998). "Short-term prediction of SO2 concentration in Macau with artificial neural networks." Energy and Buildings 28(3): 279-286.
Mokhnacke, L., A. Boubakeur, et al. (2003). "Prediction of thermal ageing in transformer oil and high voltage PVC cables using artificial neural networks." Iee Proceedings-Science Measurement and Technology 150(3): 107-112.
Molnar, G. F. (2000). "Neuronal firing rates in motor thalamus of Parkinson's disease (PD) and essential tremor (ET) patients." MAI 39(03): 795.
Monforte, F. A. (2002). "Predictive modular neural networks - Applications to time series." International Journal of Forecasting 18(1): 157-158.
Monforte, F. A. (2002). "Predictive Modular Neural Networks - Applications to Time Series: Vassilios Petridis and Athanasios Kehagias (Eds.), Kluwer Academic Publishers, ISBN 0-7923-8290-0, $137.50." International Journal of Forecasting 18(1): 157-158.
Montanes, E., C. O. Menendez, et al. (2002). "Analysis and forecasting of the performance of a power plant condenser using Box-Jenkins time series and neural networks." Engineering Intelligent Systems for Electrical Engineering and Communications 10(2): 115-121.
Montera, D. A., B. M. Welsh, et al. (1997). "Prediction of wave-front sensor slope measurements with artificial neural networks." Applied Optics 36(3): 675-681.
Moody, E. W. "Neural Network Applications in Inorganic Chemistry (Bond Length, Stretching Frequency, Diatomics, Bond Disassociation Energies)." DAI, , 58, no. 04B, (1997): 1876.
Moody, J. (1991). Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. Neural Information Processing Systems 91.
Moody, J. E. (1992). The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems. Advances in Neural Information Processing Systems 4. J. E. Moody, S. J. Hanson and R. P. Lippmann: 847-854.
Moody, J. (1994). Prediction Risk and Architecture Selection for Neural Networks. From Statistics to Neural Networks: Theory and Pattern Recognition Applications. V. Cherkassky, J. H. Friedman and H. Wechsler, Springer-Verlag. NATO ASI Series F, v.136.
Moody, J. (1998). Forecasting the economy with neural nets: A survey of challenges and solutions. Neural Networks: Tricks of the Trade. Berlin, SPRINGER-VERLAG BERLIN. 1524: 347-371.
Moon, J. S. "A Word Recognition Model: A Neural Network View." DAI, , 52, no. 01B, (1991): 0350.
Moon, S. K. and S. H. Chang (1994). "Classification and Prediction of the Critical Heat-Flux Using Fuzzy Theory and Artificial Neural Networks." Nuclear Engineering and Design 150(1): 151-161.
Moon, Y. B. and R. Janowski (1995). "A neural network approach for smoothing and categorizing noisy data." Computers in Industry 26: 23-39.
Moon, H. S. and S. J. Na (1997). "Optimum design based on mathematical model and neural network to predict weld parameters for fillet joints." Journal of Manufacturing Systems 16(1): 13-23.
Moon, Y. B., C. K. Divers, et al. (1998). "AEWS: an integrated knowledge-based system with neural networks for reliability prediction." Computers in Industry 35(2): 101-108.
Moon, Y. B., C. K. Divers, et al. (1998). "AEWS: an integrated knowledge-based system with neural networks for reliability prediction." Computers in Industry 35(2): 101-108.
Moore, D. R. J., R. L. Breton, et al. (2003). "A comparison of model performance for six quantitative structure-activity relationship packages that predict acute toxicity to fish." Environmental Toxicology And Chemistry / SETAC 22(8): 1799-1809.
Morabito, F. C. and M. Versaci "Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data." Neural Networks: The Official Journal Of The International Neural Network Society 16(3-4): 493-506.
Morabito, F. C., M. Versaci, et al. (2001). "Fuzzy-neural approaches to the prediction of disruptions in ASDEX Upgrade." Nuclear Fusion 41(11): 1715-1723.
Morabito, F. C. and M. Versaci (2003). "Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data." Neural Networks 16(3-4): 493-506.
Morantz, B. H. (2002). Weighted window method for time series forecasting with an artificial neural network: xi, 82 leaves, bound.
Morantz, B. H. (2002). "Weighted window method for time series forecasting with an artificial neural network." DAI 63(02B): 866.
More, A. and M. C. Deo (2003). "Forecasting wind with neural networks." Marine Structures 16(1): 35-49.
Moreira, R. G. (2001). Automatic control for food processing systems. Gaithersburg, Md., Aspen Publishers.
Morgan, G. E., J. R. Kovaleskie, et al. (1996). "Neural network based prediction of the incidence of arrhythmias during extracorporeal shock wave lithotripsy." Anesthesiology 85(3A): A450-A450.
Mori, H., K. Itou, et al. (1992). "An Artificial Neural-Net Based Method for Predicting Power-System Voltage Harmonics." Ieee Transactions on Power Delivery 7(1): 402-409.
Mori, H. and A. Yuihara (2001). "Deterministic annealing clustering for ANN-based short-term load forecasting." Power Systems, IEEE Transactions on 16(3): 545-551.
Morse, D. C. (2001). "Tube diameter in tightly entangled solutions of semiflexible polymers." Physical Review E 6303(3).
Moseholm, L., J. Silva, et al. (1994). Forecasting carbon monoxide concentrations near a sheltered intersection using video traffic surveillance and neural networks. Seattle, WA, Transportation Northwest Dept. of Civil Engineering University of Washington.
Moseholm, L., J. Silva, et al. (1994). Forecasting carbon monoxide concentrations near a sheltered intersection using video traffic surveillance and neural networks. Seattle, WA, Transportation Northwest Dept. of Civil Engineering University of Washington.
Moseholm, L., J. Silva, et al. (1996). "Forecasting carbon monoxide concentrations near a sheltered intersection using video traffic surveillance and neural networks." Transportation Research Part D: Transport and Environment 1(1): 15-28.
Moselholm, L., J. Silva, et al. (1996). Forecasting carbon monoxide concentrations near a sheltered intersection using video traffic surveillance and neural networks.
Moshiri, S. "Forecasting Inflation Using Econometric and Artificial Neural Network Models (Econometric Models)." DAI, , 59, no. 10A, (1998): 3897.
Moshiri, S. (1998). "Forecasting Inflation Using Econometric and Artificial Neural Network Models (Econometric Models)." DAI 59(10A): 106.
Moshiri, S. (1999). Forecasting inflation using econometric and artificial neural network models. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Moshiri, S. and N. Cameron (2000). "Neural network versus econometric models in forecasting inflation." Journal of Forecasting 19(3): 201-217.
Mosier, P. D., A. E. Counterman, et al. (2002). "Prediction of peptide ion collision cross sections from topological molecular structure and amino acid parameters." Analytical Chemistry 74(6): 1360-1370.
Mosier, P. D., P. C. Jurs, et al. (2003). "Predicting the genotoxicity of thiophene derivatives from molecular structure." Chemical Research In Toxicology 16(6): 721-732.
Motiwalla, L. and M. Wahab (2000). "Predictable variation and profitable trading of US equities: a trading simulation using neural networks." Computers & Operations Research 27(11-12): 1111-1129.
Mousavi, M. S. "Computer Stereo Vision for Three-Dimensional Object Location Using a Neural Network Architecture (Three- Dimensional)." DAI, , 51, no. 10B, (1990): 4972.
Mozer, M. C. (1994). Neural net architectures for temporal sequence processing. Time Series Prediction: Forecasting the Future and Understanding the Past. A. S. Weigend and N. A. Gershenfeld. Reading, MA, Addison-Wesley: 243-264.
Mozolin, M., J.-C. Thill, et al. (2000). Trip distribution forecasting with multilayer perceptron neural networks : a critical evaluation.
Mozolin, M., J. C. Thill, et al. (2000). "Trip distribution forecasting with multilayer perceptron neural networks: A critical evaluation." Transportation Research Part B-Methodological 34(1): 53-73.
Mozolin, M., J.-C. Thill, et al. (2000). "Trip distribution forecasting with multilayer perceptron neural networks: A critical evaluation." Transportation Research Part B: Methodological 34(1): 53-73.
Mukherjee, S. "Neural Network Training Algorithms Based on Quadratic Error Surface Models." DAI, , 57, no. 12B, (1997): 7659.
Mukherjee, A., S. Schmauder, et al. (1995). "Artificial Neural Networks for the Prediction of Mechanical-Behavior of Metal-Matrix Composites." Acta Metallurgica Et Materialia 43(11): 4083-4091.
Mukherjee, A., J. M. Deshpande, et al. (1996). "Prediction of buckling load of columns using artificial neural networks." Journal of Structural Engineering-Asce 122(11): 1385-1387.
Mukherjee, A. and S. N. Biswas (1997). "Artificial neural networks in prediction of mechanical behavior of concrete at high temperature." Nuclear Engineering and Design 178(1): 1-11.
Mukherjee, A. and S. Nag Biswas (1997). "Artificial neural networks in prediction of mechanical behavior of concrete at high temperature." Nuclear Engineering and Design 178(1): 1-11.
Muller, B. (1997). "Neural networks as a means of precise day-to-day sales prediction for milk products." Kieler Milchwirtschaftliche Forschungsberichte 49(2): 85-94.
Muller, B. (1997). "Better output prediction in hog slaughtering with neural networks?" Fleischwirtschaft 77(1): 80-83.
Munack, A., K. Sch·ugerl, et al. (1995). Computer applications in biotechnology : a postprint volume from the 6th International Conference, Garmisch-Partenkirchen, Germany, 14-17 May 1995. Tarrytown, NY, Published for the International Federation of Automatic Control by Pergamon.
Munley, M. T., J. Y. Lo, et al. (1999). "A neural network to predict symptomatic lung injury." Physics In Medicine And Biology 44(9): 2241-2249.
Munsif, H. P. "Applications of Neural Networks for Distillation Control (Process Control, Propylene Propane Splitter, Toluene Xylene Splitter)." DAI, , 56, no. 12B, (1996): 6914.
Murata, N., S. Yoshizawa, et al. (1994). "Network information criterion-determining the number of hidden units for an artificial neural network model." Neural Networks, IEEE Transactions on 5(6): 865-872.
Murtagh, F., G. Zheng, et al. (2000). "Neural network modelling for environmental prediction." Neurocomputing 30(1-4): 65-70.
Murvai, J., K. Vlahovicek, et al. (2001). "Prediction of protein functional domains from sequences using artificial neural networks." Genome Research 11(8): 1410-1417.
Musa, M. (1995). "Adaptive traffic control for isolated signalized intersections using neural networks." DAI 57(01B): 547.
Musa, M. and P. D. Pant (1998). Neural network models for predicting stop and stopped delay for individual vehicles at signalized intersections.
Muskal, S. M. "Predicting Features of Protein Structure with Computer Simulated Neural Networks (Neural Networks, Cysteine)." DAI, , 53, no. 05B, (1991): 2332.
Muskal, S. M. (1991). Predicting features of protein structure with computer simulated neural networks: vii, 119 leaves.
Muskal, S. M. and S. H. Kim (1992). "Predicting Protein Secondary Structure-Content - a Tandem Neural Network Approach." Journal of Molecular Biology 225(3): 713-727.
Mustapha, M. A. and Eastern Mediterranean University. (1998). Prediction of swelling properties of polymeric gels by using neural networks. Ma*gusa, Turkish Republic of Northern Cyprus, Eastern Mediterranean University: 70 p.
Muthuswamy, J. "Estimation of Depth of Anesthesia in Canines from Electroencephalographic and Hemodynamic Data Using Neural Networks." DAI, , 57, no. 06B, (1996): 3875.
Muthuswamy, J. (1996). "Estimation of depth of anesthesia in canines from electroencephalographic and hemodynamic data using neural networks." DAI 57(06B): 3875.
Muttiah, R. S. "Neural Networks in Agriculture and Natural Resources: Its Application to the Wellhead Protection Area Problem Using Gis (Indiana, Vermont)." DAI, , 54, no. 01B, (1992): 0351.
Muttiah, R. S., R. Srinivasan, et al. (1997). "Prediction of two-year peak stream discharges using neural networks." Journal of the American Water Resources Association 33(3): 625-630.
Myers, C. E., B. R. Ermita, et al. (1996). "A Computational Model of Cholinergic Disruption of Septohippocampal Activity in Classical Eyeblink Conditioning." Neurobiology of Learning and Memory 66(1): 51-66.
Myers, C. W., R. J. Morin, et al. (1998). "Neural network prediction of arterial pressure Mayer wave amplitude: A preliminary assessment." Faseb Journal 12(5): A986-A986.
Myllykoski, P., J. Larkiola, et al. (1996). "Development of prediction model for mechanical properties of batch annealed thin steel strip by using artificial neural network modelling." Journal of Materials Processing Technology 60(1-4): 399-404.
N*rgaard, M., C. C. Jorgensen, et al. (1997). Neural network prediction of new aircraft design coefficients. Moffett Field, Calif.
Springfield, Va., National Aeronautics and Space Administration Ames Research Center ;
National Technical Information Service distributor.
N*rgaard, M. (2000). Neural networks for modelling and control of dynamic systems : a practitioner's handbook. Berlin ; New York, Springer.
Nadgir, A. D. and Cleveland State University. Dept. of Industrial and Manufacturing Engineering. (2000). Development of simulation techniques for the orthogonal cutting process and predicting tool wear using neural network modeling: 95 leaves, bound.
Nag, A. K. and A. Mitra (2002). "Forecasting daily foreign exchange rates using genetically optimized neural networks." Journal of Forecasting 21(7): 501-511.
Nagadori, N., G. Fukawa, et al. (2002). "Neural Network Prediction for Annual Riverbed Evolution of Shigenobu River Considering Check Dam Effect." Doboku Gakkai ronbunshåu. 1, Journal of structural mechanics and earthquake engineering(707): 83-100.
Nagai, A. "Prediction of Magnetospheric Parameters Using Artificial Neural Networks." DAI, , 55, no. 12B, (1994): 5378.
Nagamori, E., H. Honda, et al. (2001). "Prediction of occurrence of Heterocapsa circularisquama red tide by means of fuzzy neural network." Journal of Chemical Engineering of Japan 34(8): 998-1005.
Nagamuthu, N. (1992). A short-term electric load forecasting method based on an artificial neural network : a thesis presented to the faculty of the Graduate School, Tennessee Technological University: viii, 90 leaves.
Nagayama, I. and T. Murata (1998). "Reliability Estimation of Electric Parts by Using Neural Prediction Model." Denki Gakkai ronbunshi. C, Erekutoronikusu, jåohåo kåogaku, shisutemu = The Transactions of the Institute of Electrical Engineers of Japan. C 118(4): 544.
Nagesh, D. S. and G. L. Datta (2002). "Prediction of weld bead geometry and penetration in shielded metal-are welding using artificial neural networks." Journal of Materials Processing Technology 123(2): 303-312.
Nagesh, D. S. and G. L. Datta (2002). "Prediction of weld bead geometry and penetration in shielded metal-arc welding using artificial neural networks." Journal of Materials Processing Technology 123(2): 303-312.
Naguib, R. N., M. C. Robinson, et al. (1998). "Neural network analysis of combined conventional and experimental prognostic markers in prostate cancer: a pilot study." British Journal Of Cancer 78(2): 246-250.
Naguib, R. N. G. and F. C. Hamdy (1998). "A general regression neural network analysis of prognostic markers in prostate cancer." Neurocomputing 19(1-3): 145-150.
Naguib, R. N., H. A. Sakim, et al. (1999). "DNA ploidy and cell cycle distribution of breast cancer aspirate cells measured by image cytometry and analyzed by artificial neural networks for their prognostic significance." IEEE Transactions On Information Technology In Biomedicine: a Publication Of The IEEE Engineering In Medicine And Biology Society 3(1): 61-69.
Nagy, Z., American Institute of Chemical Engineers., et al. (2000). A Comparison of First Principles and Neural Network Model Based Nonlinear Predictive Control of a Distillation Column. New York, N.Y., Distributed by American Institute of Chemical Engineers.
Nagy, H. M., K. Watanabe, et al. (2002). "Prediction of sediment load concentration in rivers using artificial neural network model." Journal of Hydraulic Engineering-Asce 128(6): 588-595.
Naimark, D. M. J. (2000). "A comparison of regression methods with artificial neural networks for the prediction of the outcome of patients on chronic dialysis." MAI 38(06): 1578.
Naimark, D. M. J. (2001). A comparison of regression methods with artificial neural networks for the prediction of the outcome of patients on chronic dialysis. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Naimark, D. M. J., D. Ansell, et al. (2002). "Prediction of one-year mortality among chronic dialysis patients in the United Kingdom using an artificial neural network (ANN)." Journal of the American Society of Nephrology 13: 618A-618A.
Najim, K., A. Rusnak, et al. (1997). "Constrained long-range predictive control based on artificial neural networks." International Journal of Systems Science 28(12): 1211-1226.
Najjar, Y. M., I. A. Basheer, et al. (1997). "Computational neural networks for predictive microbiology .1. Methodology." International Journal of Food Microbiology 34(1): 27-49.
Najjar, Y. M., I. A. Basheer, et al. (1997). "Computational neural networks for predictive microbiology: I. Methodology." International Journal Of Food Microbiology 34(1): 27-49.
Najvárek, J. (1999). Neuronové sít*e v prediktivním *rízení = Neural networks in predictive control. V Brn*e, Vysoké u*cení technické Fakulta elektrotechniky a informatiky.
Naka, K.-i. and H. M. Sakai (1991). "The messages in optic nerve fibers and their interpretation." Brain Research Reviews 16(2): 135-149.
Nakamura, M., K. Tsuda, et al. (1995). "Word category prediction based on neural network." International Journal of Computer Mathematics 57(3-4): 169-181.
Nam, K. and T. Schaefer (1995). Forecasting international airline passenger traffic using neural networks.
Nam, K. and T. Schaefer (1995). "Forecasting International Airline Passenger Traffic Using Neural Networks." Logistics and Transportation Review 31(3): 239-251.
Nam, K., J. Yi, et al. (1997). "Predicting airline passenger volume." The Journal of Business Forecasting Methods & Systems 16(1): 14-16.
Nam, Y. J. (2002). Development of a neural network model to nowcast/forecast the coastal water level anomalies on the entrance to Galveston Bay, Texas: xii, 78 leaves.
Nandy, S. (2001). Assessing external reinforcement on reinforced concrete beams using neural networks. Gainesville, Fla., University of Florida.
Nannariello, J. and F. Fricke (1999). "The prediction of reverberation time using neural network analysis." Applied Acoustics 58(3): 305-325.
Nannariello, J. and F. R. Fricke (2001). "The use of neural network analysis to predict the acoustic performance of large rooms Part I. Predictions of the parameter G utilizing numerical simulations." Applied Acoustics 62(8): 917-950.
Nannariello, J. and F. R. Fricke (2001). "The use of neural network analysis to predict the acoustic performance of large rooms Part II. Predictions of the acoustical attributes of concert halls utilizing measured data." Applied Acoustics 62(8): 951-977.
Nannariello, J., M. Hodgson, et al. (2001). "Neural network predictions of speech levels in university classrooms." Applied Acoustics 62(7): 749-767.
Nannariello, J. and F. R. Fricke (2002). "A neural-computation method of predicting the early interaural cross-correlation coefficient (IACC(E3)) for auditoria." Applied Acoustics 63(6): 627-641.
Narayan, S. "Nonlinear Transformation of Neuronal Inputs in Multi-Layer Perceptron Networks (Ensemble Encoding)." DAI, , 55, no. 03B, (1993): 1006.
Narayanan, M. N. and S. B. Lucas (1993). "A Genetic Algorithm to Improve a Neural Network to Predict a Patients Response to Warfarin." Methods of Information in Medicine 32(1): 55-58.
Nariman-Zadeh, N., A. Darvizeh, et al. (2003). "Hybrid genetic design of GMDH-type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process." Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture 217(6): 779-790.
Nasereddin, M. (2001). "A methodology for the development of reverse simulation metamodels using neural networks." DAI 62(05B): 2447.
Nashawi, I. S. and A. A. Elgibaly (1999). "Prediction of liquid viscosity of pure organic compounds via artificial neural networks." Petroleum Science and Technology 17(9-10): 1107-1144.
Nashawi, I. S. and A. Elkamel (1999). "Neural network model for the prediction of water aquifer dimensionless variables for edge- and bottom-water drive reservoirs." Energy & Fuels 13(1): 88-98.
Nasr, G. E., E. A. Badr, et al. (2002). "Neural networks in forecasting electrical energy consumption: univariate and multivariate approaches." International Journal of Energy Research 26(1): 67-78.
Nasution, B. P. (1998). Currency exchange rate prediction utilizing artificial neural networks and Kalman filters: xii, 131 leaves.
Natale, F. G. B. D., C. Perra, et al. (2000). "PAPERS - DCT Information Recovery of Erroneous Image Blocks by a Neural Predictor." IEEE journal on selected areas in communications : a publication of the IEEE Communications Society 18(6): 11.
Nath, P. A., S. M. Day, et al. (1998). "A neural network model for predicting cardiac risk incorporating clinical risk factors and dobutamine echocardiogram results." Medical Decision Making 18(4): 456-456.
Nau, K. L. "Changes in Body Composition, Strength and Metabolism During the Progression of Amyotrophic Lateral Sclerosis (Motor Neuron Disease)." DAI, , 55, no. 08B, (1994): 3183.
Nauck, D. D. (2003). "Fuzzy data analysis with NEFCLASS." International Journal of Approximate Reasoning 32(2-3): 103-130.
Navone, H. D. and H. A. Ceccatto (1994). "Predicting Indian Monsoon Rainfall - a Neural-Network Approach." Climate Dynamics 10(6-7): 305-312.
Nayak, A. (1995). "Automatic estimation and control of depth of anesthesia using the midlatency auditory evoked potentials by means of artificial neural networks and rule-based control." DAI 57(03B): 1946.
Nazir, J., D. J. Barlow, et al. (2002). "Artificial neural network prediction of aerosol deposition in human lungs." Pharmaceutical Research 19(8): 1130-1136.
Neagu, C. D., N. Avouris, et al. (2002). "Neural and neuro-fuzzy integration in a knowledge-based system for air quality prediction." Applied Intelligence 17(2): 141-169.
Neal, R. M. "Bayesian Learning for Neural Networks (Machine Learning)." DAI, , 56, no. 12B, (1995): 6870.
Neelakantan, T. R., S. Lingireddy, et al. (2002). "Effectiveness of different artificial neural network training algorithms in predicting protozoa risks in surface waters." Journal of Environmental Engineering-Asce 128(6): 533-542.
Nefati, H., J. M. Cense, et al. (1996). "Prediction of the impact sensitivity by neural networks." Journal of Chemical Information and Computer Sciences 36(4): 804-810.
Neff, K. J. E. "Neural Net Models of Word Representation: A Connectionist Approach to Word Meaning and Lexical Relations." DAI, , 52, no. 12A, (1991): 4318.
Negarestani, A., S. Setayeshi, et al. (2002). "Layered neural networks based analysis of radon concentration and environmental parameters in earthquake prediction." Journal Of Environmental Radioactivity 62(3): 225-233.
Negley, M., M. R. Govindaraju, et al. (1994). "Neural Network Prediction of Creep Damage Based on Magnetic Properties in Power Plant Piping." Review of progress in quantitative nondestructive evaluation 13(B): 1817.
Negley, M., M. R. Govindaraju, et al. (1997). "Neural network prediction of creep damage based on magnetic properties in power plant piping." NDT & E International 30(1): 35.
Nehdi, M., H. El Chabib, et al. (2001). "Predicting performance of self-compacting concrete mixtures using artificial neural networks." Aci Materials Journal 98(5): 394-401.
Neilson, P. D. and M. D. Neilson (1999). "A neuroengineering solution to the optimal tracking problem." Human Movement Science 18(2-3): 155-183.
Nelson, P., P. Palacharla, et al. (1993). A neural network model for data fusion in ADVANCE.
Nelson, M., T. Hill, et al. (1994). Can neural networks applied to time series forecasting learn seasonal patterns: an empirical investigation. System Sciences, 1994. Vol.III: Information Systems: Decision Support and Knowledge-Based Systems, Proceedings of the Twenty-Seventh Hawaii International Conference on.
Nelson, D. R. (1994). Electric utility load forecasting via neural networks a case study.
Nelson, D. R. (1994). Electric utility load forecasting via neural networks : a case study: ix, 83 leaves.
Nelson, M., T. Hill, et al. (1999). "Time series forecasting using neural networks: Should the data be deseasonalized first?" Journal of Forecasting 18(5): 359-367.
Neri, F., D. Dazzi, et al. (2000). "The use of a neural network model for the prediction of progression or thyroid-associated ophthalmopathy (TAO) at the first patients examination." Investigative Ophthalmology & Visual Science 41(4): S934-S934.
Neskovic, A., N. Neskovic, et al. (2000). "Indoor electric field level prediction model based on the artificial neural networks." Ieee Communications Letters 4(6): 190-192.
Neskovic, A., N. Neskovic, et al. (2002). "Macrocell electric field strength prediction model based upon artificial neural networks." Ieee Journal on Selected Areas in Communications 20(6): 1170-1177.
Neves, J. E., L. B. De Almeida, et al. (1994). "B-ISDN Connection Admission Control and Routing Strategy with Traffic Prediction by Neural Networks." Conference record(2): 769.
Neves, J. E., M. J. Leitao, et al. (1995). "Neural Networks in B-Isdn Flow-Control - Atm Traffic Prediction or Network Modeling." Ieee Communications Magazine 33(10): 50-56.
Newman, L. S. "Beta-Nap, a Cerebellar Degeneration Antigen, Is a Neuron- Specific Vesicle Coat Protein (Adaptin)." DAI, , 58, no. 03B, (1997): 1120.
Ng, T.-S., Y. S. Hung, et al. (1995). Safety, reliability, and applications of emerging intelligent control technologies : a postprint volume from the IFAC workshop, Hong Kong, 12-14 December 1994. Oxford ; New York, Published for the International Federation of Automatic Control by Pergamon.
Ng, W.-L. A. (1999). Price discovery of stock index with informationally-linked markets using artificial neural network: 87 leaves.
Nguyen, D. H. "Applications of Neural Networks in Adaptive Control." DAI, , 52, no. 09B, (1991): 4903.
Nguyen, M. H. T. (1995). "Modeling dynamic signals with neural networks." DAI 57(02B): 1207.
Nguyen, T. P. and N. Kuppermann (1998). "Prediction of adverse outcome in pediatric meningococcal disease using artificial neural network or logistic regression analyses." Pediatrics 102(3): 716-716.
Nguyen, D.-D. (2000). "Forecasting macroeconomic models with artificial neural networks: An empirical investigation into the foundation for an intelligent forecasting system." DAI 61(03A): 1056.
Nguyen, D.-D. (2001). Forecasting macroeconomic models with artificial neural networks an empirical investigation into the foundation for an intelligent forecasting system. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Nguyen, T., R. Malley, et al. (2002). "Comparison of prediction models for adverse outcome in pediatric meningococcal disease using artificial neural network and logistic regression analyses." Journal Of Clinical Epidemiology 55(7): 687-695.
Nguyen, T., R. Malley, et al. (2002). "Comparison of prediction models for adverse outcome in pediatric meningococcal disease using artificial neural network and logistic regression analyses." Journal of Clinical Epidemiology 55(7): 687-695.
Ni, H. F. and D. Hunkeler (1997). "Prediction of copolymer composition drift using artificial neural networks: Copolymerization of acrylamide with quaternary ammonium cationic monomers." Polymer 38(3): 667-675.
Ni, H. and S. Gunasekaran (1998). "Food Quality Prediction with Neural Networks." Food technology 52(10): 5.
Ni, H. X. and S. Gunasekaran (1998). "Food quality prediction with neural networks." Food Technology 52(10): 60-65.
Ni, H. G. and J. Z. Wang (2000). "Prediction of compressive strength of concrete by neural networks." Cement and Concrete Research 30(8): 1245-1250.
Ni Hong-Guang and Wang Ji-Zong (2000). "Prediction of compressive strength of concrete by neural networks." Cement and Concrete Research 30(8): 1245-1250.
Nicholas, J. A. (1997). A comparison of regression models and artificial neural networks with an application to forecasting corn grain weight with weather data: xi, 200 leaves, bound.
Nicol, J. J. "Modeling the Dynamic Response of the Human Spine to Mechanical Shock and Vibration Using an Artificial Neural Network." MAI, , 35, no. 05, (1996): 1514.
Nie, J. H. (1997). "Nonlinear time-series forecasting: A fuzzy-neural approach." Neurocomputing 16(1): 63-76.
Nie, J. (1997). "Nonlinear time-series forecasting: A fuzzy-neural approach." Neurocomputing 16(1): 63-76.
Nielsen, H., J. Engelbrecht, et al. "A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites." International Journal Of Neural Systems 8(5-6): 581-599.
Nielsen, M., C. Lundegaard, et al. (2003). "Reliable prediction of T-cell epitopes using neural networks with novel sequence representations." Protein Science: a Publication Of The Protein Society 12(5): 1007-1017.
Niiler, T. A. (2001). Efficacy of predictions of post-operative gait in rectus transfer patients using neural networks.
Niiler, T. A. (2001). Efficacy of predictions of post-operative gait in rectus transfer patients using neural networks: xiv, 133 leaves.
Niiler, T. A. (2002). "Efficacy of predictions of post-operative gait in rectus transfer patients using neural networks." DAI 63(01B): 214.
Nikolopoulos, C. and C. Choi (1994). "A Consumer Complaint Behavior Neural Forecasting Model." Angewandte Informatik. Applied informatics: 61.
Nikravesh, M. "Dynamic Neural Network Control (Dnnc) (Neural Network, Process Control)." DAI, , 56, no. 01B, (1994): 0383.
Nilsson, A. (1998). "Predicting the mean temperature of the transfer bar after rolling in the rougher using a neural network." Journal of Materials Processing Technology 80-81: 469-474.
Niranjan Prasad, K. and B. Ramamoorthy (2001). "Tool wear evaluation by stereo vision and prediction by artificial neural network." Journal of Materials Processing Technology 112(1): 43-52.
Niska, H., T. Hiltunen, et al. (2004). "Evolving the neural network model for forecasting air pollution time series." Engineering Applications of Artificial Intelligence 17(2): 159-167.
Niwa, T. "Using general regression and probabilistic neural networks to predict human intestinal absorption with topological descriptors derived from two-dimensional chemical structures." Journal Of Chemical Information And Computer Sciences 43(1): 113-119.
Niwa, T. (2003). "Using general regression and probabilistic neural networks to predict human intestinal absorption with topological descriptors derived from two-dimensional chemical structures." Journal of Chemical Information and Computer Sciences 43(1): 113-119.
Nizami, S. and A. Z. AlGarni (1995). "Forecasting electric energy consumption using neural networks." Energy Policy 23(12): 1097-1104.
Nizami, S. S. A. K. J. and A. Z. Al-Garni (1995). "Forecasting electric energy consumption using neural networks." Energy Policy 23(12): 1097-1104.
Nneme Nneme, L. "Etude D'un Filtre Neuronal Base Sur La Structure Du Filtre De Kalman (French and English Text, Neural Network, Noise)." DAI, , 59, no. 12B, (1998): 6428.
Noble, P. A., J. S. Almeida, et al. (2000). "Application of neural computing methods for interpreting phospholipid fatty acid profiles of natural microbial communities." Applied and Environmental Microbiology 66(2): 694-699.
Noever, D., M. L. Pusey, et al. (1996). "Artificial neural network prediction of tetragonal lysozyme face growth rates." Journal of Crystal Growth 167(1-2): 221-236.
Noguchi, H., T. Hanai, et al. (2001). "BIOINFORMATICS - Fuzzy Neural Network-Based Prediction of the Motif for MHC Class II Binding Peptides." Journal of bioscience and bioengineering 92(3): 5.
Noguchi, H., T. Hanai, et al. (2001). "Fuzzy neural network-based prediction of the motif for MHC class II binding peptides." Journal of Bioscience and Bioengineering 92(3): 227-231.
Noguchi, H., R. Kato, et al. (2002). "Hidden Markov model-based prediction of antigenic peptides that interact with MHC class II molecules." Journal of Bioscience and Bioengineering 94(3): 264-270.
Nohair, M., D. Zakarya, et al. "Autocorrelation method adapted to generate new atomic environments: application for the prediction of 13-C chemical shifts of alkanes." Journal Of Chemical Information And Computer Sciences 42(3): 586-591.
Nokyoo, C., University of Newcastle upon Tyne. Dept. of Civil Engineering., et al. (2002). The use of artificial neural networks in real time forecasting of wastewater treatment plant performance. Newcastle upon Tyne, University of Newcastle upon Tyne: 1 v. (various pagings).
Nordin, G. P. "Volume Diffraction Phenomena for Photonic Neural Network Implementations and Stratified Volume Holographic Optical Elements (Holographics)." DAI, , 53, no. 12B, (1992): 6471.
Nordmann, L. H. and J. T. Luxhoj (2000). "Neural network forecasting of service problems for aircraft structural component groupings." Journal of Aircraft 37(2): 332-338.
Nordmann, L. H. and J. T. Luxhoj (2000). "FULL-LENGTH PAPERS - Neural Network Forecasting of Service Problems for Aircraft Structural Component Groupings." Journal of aircraft 37(2): 7.
Normandin, A. "Application Des Modeles Neuronaux a L'analyse De Donnees Thermodynamiques (French Text)." MAI, , 34, no. 05, (1995): 2003.
Normandin, A. (1995). "Application des modeles neuronaux a l'analyse de donnees thermodynamiques (French text)." MAI 34(05): 2003.
Norton, D. D., D. S. Dwyer, et al. (1998). "Use of a neural network secondary structure prediction to define targets for mutagenesis of herpes simplex virus glycoprotein B." Virus Research 55(1): 37-48.
Nour, M. A. "Improved Clustering and Classification Algorithms for the Kohonen Self-Organizing Neural Network." DAI, , 56, no. 05B, (1994): 2726.
Novak, E. T. (1994). Development of a prediction model from employment data with the use of logistic regression and neural networks: vii, 59 leaves.
Novak, M. (2002). A neural network approach for simulation and forecasting of chaotic time series: xi, 70 leaves.
Nowlan, S. J. "Soft Competitive Adaptation: Neural Network Learning Algorithms Based on Fitting Statistical Mixtures." DAI, , 52, no. 04B, (1991): 2147.
Nowlan, S. J. (1991). Soft competitive adaptation : neural network learning algorithms based on fitting statistical mixtures. Pittsburgh, Pa., School of Computer Science Carnegie Mellon University: viii, 314 p.
Nørgaard, M., C. C. Jorgensen, et al. (1997). Neural network prediction of new aircraft design coefficients. Moffett Field, Calif.
Springfield, Va., National Aeronautics and Space Administration Ames Research Center ;
National Technical Information Service distributor.
Ntungo, C. "Forecasting Turning Points for Trading Commodity Futures Using Time-Series and Neural Network Models." DAI, , 57, no. 10A, (1996): 4471.
Ntungo, C. (1996). Forecasting turning points for trading commodity futures using time-series and neural network models. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Nuding, S. C. "Interspike Interval Patterns of Taste Neurons in the Hamster Solitary Nucleus: Types, Simulations, and Afferent Inputs." DAI, , 54, no. 01B, (1992): 0103.
Nussbaum, C., T. Booth, et al. (1996). "A neural network for the prediction of performance parameters of transformer cores." Journal of Magnetism and Magnetic Materials 160: 81-83.
Nussbaum, M. A. and N. B. Chaffin (1996). "Evaluation of artificial neural network modelling to predict torso muscle activity." Ergonomics 39(12): 1430-1444.
Nussbaum, C., T. Booth, et al. (1996). "A neural network for the prediction of performance parameters of transformer cores." Journal of Magnetism and Magnetic Materials 160: 81-83.
Nussbaum, C., H. Pfutzner, et al. (2000). "Neural networks for the prediction of magnetic transformer core characteristics." Ieee Transactions on Magnetics 36(1): 313-329.
Nussbaum, A. K., C. Kuttler, et al. (2003). "Using the World Wide Web for predicting CTL epitopes." Current Opinion in Immunology 15(1): 69-74.
N²rgaard, M., C. C. Jorgensen, et al. (1997). Neural network prediction of new aircraft design coefficients. Moffett Field, Calif.
Springfield, Va., National Aeronautics and Space Administration Ames Research Center ;
National Technical Information Service distributor.
O'Callaghan, S. "An Artificial Intelligence Application of Backpropagation Neural Networks to Simulate Accountants' Assessments of Internal Control Systems Using Coso Guidelines." DAI, , 55, no. 09A, (1994): 2893.
O'Neal, M., B. Engel, et al. (2002). "Neural Network Prediction of Maize Yield using Alternative Data Coding Algorithms." Biosystems Engineering 83(1): 15.
O'Neal, M. R., B. A. Engel, et al. (2002). "Neural network prediction of maize yield using alternative data coding algorithms." Biosystems Engineering 83(1): 31-45.
O'Neal, M. R., B. A. Engel, et al. (2002). "AE--Automation and Emerging Technologies: Neural Network Prediction of Maize Yield using Alternative Data Coding Algorithms." Biosystems Engineering 83(1): 31-45.
O'Neill, M. J. (1991). Neural network simulation as a computer-aided design tool for predicting wayfinding performance.
O'Reilly, P. G. "Applications of Neural Networks for Engine Air-Fuel Ratio Control." DAI, , 56, no. 04C, (1994): 1090.
Oatley, G. C. and B. W. Ewart (2003). "Crimes analysis software: 'pins in maps', clustering and Bayes net prediction." Expert Systems with Applications 25(4): 569-588.
Obara, S. and T. Nagai (1983). "An improved instantaneous frequency meter for use with a multi-trace CRO: re-examination of the principles involved." Journal of Neuroscience Methods 7(1): 89-98.
Ochi, T., K. Murase, et al. (2002). "Survival prediction using artificial neural networks in patients with uterine cervical cancer treated by radiation therapy alone." International Journal Of Clinical Oncology / Japan Society Of Clinical Oncology 7(5): 294-300.
Oczkowski, W. J. and S. Barreca (1997). "Neural network modeling accurately predicts the functional outcome of stroke survivors with moderate disabilities." Archives Of Physical Medicine And Rehabilitation 78(4): 340-345.
Ofran, Y. and B. Rost (2003). "Predicted protein-protein interaction sites from local sequence information." FEBS Letters 544(1-3): 236-239.
Oh, K.-T. "An Information Based Approach to Anomaly Detection in Dynamic Systems (Neural Network)." DAI, , 56, no. 06B, (1995): 3420.
Oh, K. J. and I. Han (2000). "Using change-point detection to support artificial neural networks for interest rates forecasting." Expert Systems with Applications 19(2): 105-115.
Oh, S.-K., W. Pedrycz, et al. (2002). "Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation." Advanced Engineering Informatics 16(4): 247-263.
Oh, S.-K., W. Pedrycz, et al. (2003). "Hybrid identification in fuzzy-neural networks." Fuzzy Sets and Systems 138(2): 399-426.
Ohdar, R. K. and S. Pasha (2003). "Prediction of the process parameters of metal powder preform forging using artificial neural network (ANN)." Journal of Materials Processing Technology 132(1-3): 227-234.
Ohno-Machado, L. (1996). "Medical applications of artificial neural networks: Connectionist models of survival." DAI 57(02B): 1207.
Ohno-Machado, L. (1996). "Sequential use of neural networks for survival prediction in AIDS." Proceedings: a Conference Of The American Medical Informatics Association / ... AMIA Annual Fall Symposium. AMIA Fall Symposium: 170-174.
Ohno-Machado, L. (1997). "A comparison of Cox proportional hazards and artificial neural network models for medical prognosis." Computers In Biology And Medicine 27(1): 55-65.
Okafor, A. C. and O. Adetona (1995). "Predicting quality characteristics of end-milled parts based on multi-sensor integration using neural networks: Individual effects of learning parameters and rules." Journal of Intelligent Manufacturing 6(6): 389-400.
Okafor, A. C., K. Chandrashekhara, et al. (1996). "Delamination prediction in composite beams with built-in piezoelectric devices using modal analysis and neural network." Smart Materials & Structures 5(3): 338-347.
Oksay, F. E. (1995). Predicting the outcome of construction claims using neural networks: ix, 344 leaves.
Olden, J. D. and D. A. Jackson (2001). "Fish-habitat relationships in lakes: Gaining predictive and explanatory insight by using artificial neural networks." Transactions of the American Fisheries Society 130(5): 878-897.
Olden, J. D. and D. A. Jackson (2002). "Illuminating the "black box": a randomization approach for understanding variable contributions in artificial neural networks." Ecological Modelling 154(1-2): 135-150.
Oldenziel, T., P. de Groot, et al. (2000). "Neural network-based prediction of porosity and water saturation from time-lapse seismic; a case study on Statfjord." First break 18(Part 2): 65-69.
Olivier, E. and R. B. Eldridge (2002). "Prediction of the trayed distillation column mass-transfer performance by neural networks." Industrial & Engineering Chemistry Research 41(14): 3436-3446.
Olshausen, B. A. "Neural Routing Circuits for Forming Invariant Representations of Visual Objects (Control Neurons)." DAI, , 55, no. 05B, (1994): 1761.
Olson, D. and C. Mossman (2003). "Neural network forecasts of Canadian stock returns using accounting ratios." International Journal of Forecasting 19(3): 453-465.
Omidvar, M. O. "Analysis of Neuronal Learning Models and Their Applications in Computer System Design." DAI, , 49, no. 03B, (1987): 0826.
Omlin, C. W. P. "Symbolic Information in Recurrent Neural Networks: Issues of Representation and Training (Deterministic Finite State Automata)." DAI, , 56, no. 09B, (1995): 4990.
Omlin, C. W. and C. L. Giles (1994). Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants. College Park, Md., University of Maryland.
Ongphiphadhanakul, B., R. Rajatanavin, et al. (1997). "Prediction of low bone mineral density in postmenopausal women by artificial neural network model compared to logistic regression model." Journal Of The Medical Association Of Thailand = Chotmaihet Thangphaet 80(8): 508-515.
Opara, J., S. Primozic, et al. (1999). "Prediction of pharmacokinetic parameters and the assessment of their variability in bioequivalence studies by artificial neural networks." Pharmaceutical Research 16(6): 944-948.
Opitz, D. W. "An Anytime Approach to Connectionist Theory Refinement: Refining the Topologies of Knowledge-Based Neural Networks." DAI, , 56, no. 08B, (1995): 4432.
Opitz, D. W. (1995). An anytime approach to connectionist theory refinement : refining the topologies of knowledge-based neural networks. Madison, Wis., University of Wisconsin-Madison Computer Sciences Dept.: ix, 137 p.
Orita, S., Y. Kemmoku, et al. (1998). "Insolation forecasting by a multi-stage neural network." Electrical Engineering in Japan 125(4): 26-33.
Orr, G. B. "Dynamics and Algorithms for Stochastic Search (Machine Learning, Neural Networks)." DAI, , 56, no. 12B, (1995): 6870.
Ortiz, J., C. G. Ghefter, et al. (1995). "One-year mortality prognosis in heart failure: a neural network approach based on echocardiographic data." Journal Of The American College Of Cardiology 26(7): 1586-1593.
Ortiz, J., C. G. M. Ghefter, et al. (1995). "One-Year Mortality Prognosis in Heart Failure: A Neural Network Approach Based on Echocardiographic Data." Journal of the American College of Cardiology 26(7): 1586-1593.
Ortiz, J. J. and I. Requena (2003). "Using neural networks to predict core parameters in a boiling water reactor." Nuclear Science and Engineering 143(3): 254-267.
Osler, T. and E. J. Bedrick (2000). "An artificial neural network as a model for prediction of survival in trauma patients: Validation for a regional trauma area - Editorial comment - Neural nets and outcome prediction in trauma: A better mousetrap?" Journal of Trauma-Injury Infection and Critical Care 49(2): 221-223.
Osman, E. S. A. and M. A. Aggour (2002). "Artificial neural network model for accurate prediction of pressure drop in horizontal and near-horizontal-multiphase flow." Petroleum Science and Technology 20(1-2): 1-15.
Osowski, S. and K. Siwek (2002). "Regularisation of neural networks for improved load forecasting in the power system." Iee Proceedings-Generation Transmission and Distribution 149(3): 340-344.
Osullivan, J. and M. Omalley (1996). "Neural-networks for predicting the operation of an under-frequency load shedding system - Discussion." Ieee Transactions on Power Systems 11(3): 1357-1357.
Otawara, K. "Application of Artificial Neural Networks and Chaos in Chemical Processes (Fuzzy Expert Systems, Lyapunov Exponents)." DAI, , 56, no. 06B, (1995): 3327.
Otsuka, Y., M. Konishi, et al. (1999). "Forecasting heat levels in blast furnaces using a neural network model." Isij International 39(10): 1047-1052.
Ottenbacher, K. J., P. M. Smith, et al. (2001). "Comparison of logistic regression and neural networks to predict rehospitalization in patients with stroke." Journal Of Clinical Epidemiology 54(11): 1159-1165.
Otter, P. W. and A. Jongma (1992). Feed-forward neural netwerk [sic] models considered from an econometrics point of view : modelling, estimation and prediction aspects compared and discussed. Groningen, The Netherlands, Institute of Economic Research Faculty of Economics University of Groningen.
Ou, J. (2001). Grouped neural network model-predictive control and its experimental distillation application: xi, 191 leaves.
Ou, J. (2001). "Grouped neural network model-predictive control and its experimental distillation application." DAI 62(08B): 3714.
Ou, J. and R. R. Rhinehart (2002). "Grouped-neural network modeling for model predictive control." ISA Transactions 41(2): 195-202.
Ou, J. and R. R. Rhinehart (2003). "Grouped neural network model-predictive control." Control Engineering Practice 11(7): 723-732.
Ould-Abdesslam, Y. (1997). "Prediction des performances en fatigue des stratifies equilibres symetriques du graphite epoxy par reseau de neurones multicouches (French text)." MAI 39(04): 1238.
Owen, C. and J. Howard (1998). "Estimated realisation price (ERP) by neural networks: forecasting commercial property values." Journal of Property Valuation & Investment 16(1): 71.
Oyerokun, A. A. (2002). A new approach for training and testing artificial neural networks for permeability prediction. Morgantown, W. Va., West Virginia University Libraries.
Oyerokun, A. A. (2002). "A new approach for training and testing artificial neural networks for permeability prediction." MAI 41(01): 309.
Ozel, T. and A. Nadgir (2002). "Prediction of flank wear by using back propagation neural network modeling when cutting hardened H-13 steel with chamfered and honed CBN tools." International Journal of Machine Tools and Manufacture 42(2): 287-297.
Östermark, R. (1994). "Using Neural Nets in Modelling Vector Time Series." Kybernetes 9: 12-22.
P., M. W., I. J. Taggart, et al. (1996). "Use of neural network methods to predict porosity and permeability of a petroleum reservoir." International Journal of Rock Mechanics and Mining Science & Geomechanics Abstracts 33(5): 217A.
Paass, G. (1993). "Assessing and Improving Neural Network Predictions by the Bootstrap Algorithm." Advances in neural information processing systems 5: 196-203.
Pacheco-Vega, A., G. Diaz, et al. (2001). "Heat rate predictions in humid air-water heat exchangers using correlations and neural networks." Journal of Heat Transfer-Transactions of the Asme 123(2): 348-354.
Pachter, R., S. B. Fairchild, et al. (1996). "Biomolecular structure prediction at a low resolution using a neural network and the double-iterated Kalman filter technique." Biopolymers 39(3): 377-386.
Paetz, J. (2002). "Some remarks on choosing a method for outcome prediction." Critical Care Medicine 30(3): 724.
Pai, T. R. (1991). Designing and developing neural network models for forecasting, pattern recognition and diagnostics: v, 107 leaves.
Pai Tonse, R. "Designing and Developing Neural Network Models for Forecasting, Pattern Recognition and Diagnostics." MAI, , 30, no. 04, (1992): 1452.
Paige, R. L. (1999). "Saddlepoint methods in neural networks." DAI 60(10B): 5138.
Paik, H. and C. Marzban (1995). "Predicting Television Extreme Viewers and Nonviewers - a Neural Network Analysis." Human Communication Research 22(2): 284-306.
Paiva, R. P., A. Dourado, et al. "Quality prediction in pulp bleaching: application of a neuro-fuzzy system." Control Engineering Practice In Press, Corrected Proof.
Pal, L. and G. Basu "Neural network prediction of 3(10)-helices in proteins." Indian Journal Of Biochemistry & Biophysics 38(1-2): 107-114.
Pal, C. (1994). Application of neural networks in real time identification of dynamic structural response and prediction of road-friction coefficient * from steady state automobile response.
Pal, L. and G. Basu (2001). "Neural network prediction of 3(10)-helices in proteins." Indian Journal of Biochemistry & Biophysics 38(1-2): 107-114.
Pal, S. K., T. S. Dillon, et al. (2001). Soft computing in case based reasoning. London ; New York, Springer.
Palau, A., A. Delgado, et al. (1996). "Use of neural networks for predicting the performance of discontinuous gas-solid chilling machines." Computers & Chemical Engineering 20(1): S297-S302.
Palocsay, S. W., P. Wang, et al. (2000). "Predicting criminal recidivism using neural networks." Socio-Economic Planning Sciences 34(4): 271-284.
Palomaki, G. E., J. Williams, et al. (2003). "Comparing the observed and predicted effectiveness of folic acid fortification in preventing neural tube defects." Journal of Medical Screening 10(1): 52-53.
Pan, W. (1997). Fuzzy neural approaches to seasonal Atlantic hurricane prediction: viii, 45 leaves.
Pan, L. (2000). "Resampling in neural networks with application to financial time series." DAI 61(03B): 1442.
Pan, L. (2001). Resampling in neural networks with application to financial time series. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Pan, Y. D., S. W. Sung, et al. (2001). "Data-based construction of feedback-corrected nonlinear prediction model using feedback neural networks." Control Engineering Practice 9(8): 859-867.
Pan, Y., S. W. Sung, et al. (2001). "Data-based construction of feedback-corrected nonlinear prediction model using feedback neural networks." Control Engineering Practice 9(8): 859-867.
Pan, Q. (2002). "Neuronal Cav2.2alpha1 N-type channels: Functional and structural diversity." DAI 63(04B): 1799.
Pan, Y. (2002). "Integration of gene predictions using artificial neural networks." MAI 40(06): 1552.
Pan, H. P., C. Tilakaratne, et al. (2003). Predicting the Australian stock market index using neural networks exploiting dynamical swings and intermarket influences. Ai 2003: Advances in Artificial Intelligence. Berlin, SPRINGER-VERLAG BERLIN. 2903: 327-338.
Panella, M., A. Rizzi, et al. "Refining accuracy of environmental data prediction by MoG neural networks." Neurocomputing In Press, Corrected Proof.
Panesar, S. S. and W. Wang (2003). Electricity demand forecasting using neural networks. Intelligent Data Engineering and Automated Learning. Berlin, SPRINGER-VERLAG BERLIN. 2690: 826-834.
Panigrahi, P. K., M. Dwivedi, et al. (2003). "Prediction of turbulence statistics behind a square cylinder using neural networks and fuzzy logic." Journal of Fluids Engineering-Transactions of the Asme 125(2): 385-387.
Pankiewicz, G. S. (1997). "Neural network classification of convective airmasses for a flood forecasting system." International Journal of Remote Sensing 18(4): 887-898.
Pao, Y. H. and S. R. LeClair (1999). Artificial intelligence in real-time control 1998 : a proceedings volume from the 7th IFAC Symposium, Grand Canyon National Park, Arizona, USA, 5-8 October 1998. Oxford ; Tarrytown, N.Y., Pergamon for the International Federation of Automatic Control.
Paoloni, A., S. Ragazzini, et al. (1997). Text independent speaker verification using multiple-state predictive neural networks. Audio- and Video-Based Biometric Person Authentication. Berlin 33, SPRINGER-VERLAG BERLIN. 1206: 279-286.
Paoloni, A., S. Ragazzini, et al. (1997). "Text Independent Speaker Verification Using Multiple-state Predictive Neural Networks." Lecture notes in computer science(1206): 279.
Papadakis, S. E., J. B. Theocharis, et al. (1998). "A novel approach to short-term load forecasting using fuzzy neural networks." Ieee Transactions on Power Systems 13(2): 480-489.
Papadakis, S. E., J. B. Theocharis, et al. (1998). "A novel approach to short-term load forecasting using fuzzy neural networks - Discussion." Ieee Transactions on Power Systems 13(2): 490-492.
Papadas, C. and W. G. Hutchinson (2002). "Neural network forecasts of input-output technology." Applied Economics 34(13): 1607-1615.
Papadas, C. T. and W. G. Hutchinson (2002). "Neural network forecasts of input-output technology." Applied Economics 34(13): 1607-1615.
Papalexopoulos, A. D., S. Hao, et al. (1993). Application of neural network technology to short-term system load forecasting. Athens Power Tech, 1993. APT 93. Proceedings. Joint International Power Conference.
Papalexopoulos, A. D., S. Y. Hao, et al. (1994). "An Implementation of a Neural-Network-Based Load Forecasting-Model for the Ems." Ieee Transactions on Power Systems 9(4): 1956-1962.
Papila, N. U. (2001). Neural network and polynomial-based response surface techniques for supersonic turbine design optimization. Gainesville, Fla., University of Florida.
Papila, N. U. (2001). "Neural network and polynomial-based response surface techniques for supersonic turbine design optimization." DAI 63(05B): 2468.
Paragi, P. V. (1993). Time series trend predictions using neural networks: viii, 65 leaves.
Paravan, D., T. Stokelj, et al. (2003). "Improvements to the water management of a run-of-river HPP reservoir: methodology and case study." Control Engineering Practice In Press, Corrected Proof.
Parham, M. E., L. H. Hall, et al. (2000). "High quality of property predictions by Molconn-Z and artificial neural network modeling." Abstracts of Papers of the American Chemical Society 220: U288-U288.
Parisi, A., F. Parisi, et al. (2003). "Neural network models for forecasting stock market indices." Trimestre Economico 70(280): 721-744.
Park, D. S. "Relationship between the Performance of Multilayer Neural Network Pattern Classifiers and the Statistics of Pattern Generating Processes." DAI, , 52, no. 02B, (1990): 0991.
Park, J.-K. "Modeling of Distillation Column and Reactor Dynamics Using Artificial Neural Networks (Neural Networks)." DAI, , 55, no. 01B, (1993): 6660.
Park, Y. R. "A Study of Neural Network Construction and Its Application to Statistical Forecasting." DAI, , 54, no. 08A, (1993): 3111.
Park, D. C., M. A. El-Sharkawi, et al. (1991). "Electric load forecasting using an artificial neural network." Power Systems, IEEE Transactions on 6(2): 442-449.
Park, D. C., M. A. Elsharkawi, et al. (1991). "Electric-Load Forecasting Using an Artificial Neural Network." Ieee Transactions on Power Systems 6(2): 442-449.
Park, Y. R. (1992). A study of neural network construction and its application to statistical forecasting: vii, 168 leaves.
Park, Y. R., T. J. Murray, et al. (1996). "Predicting sun spots using a layered perceptron neural network." Ieee Transactions on Neural Networks 7(2): 501-505.
Park, D., L. R. Rilett, et al. (1998). Forecasting multiple-period freeway link travel times using neural networks with expanded input nodes.
Park, B. (1998). Clustering based RBF neural network model for short-term freeway traffic volume forecasting.
Park, B., C. J. Messer, et al. (1998). Short-term freeway traffic volume forecasting using radial basis function neural network.
Park, D. and L. R. Rilett (1998). Forecasting multiple-period freeway link travel times using modular neural networks.
Park, B., C. J. Messer, et al. (1998). Short-term freeway traffic volume forecasting using radial basis function neural network. Intelligent Transportation Systems, Automated Highway Systems, Traveler Information, and Artificial Intelligence. Washington, NATL ACAD SCI: 39-47.
Park, D. J. and L. R. Rilett (1998). Forecasting multiple-period freeway link travel times using modular neural networks. Land Use and Transportation Planning and Programming Applications. Washington, NATL ACAD SCI: 163-170.
Park, D., L. R. Rilett, et al. (1999). Spectral basis neural networks for real-time travel time forecasting.
Park, D., L. R. Rilett, et al. (1999). "Spectral basis neural networks for real-time travel time forecasting." Journal of Transportation Engineering-Asce 125(6): 515-523.
Park, J. I., C. B. Partridge, et al. (2001). "Neural network-based state prediction for strategy planning of an air hockey robot." Journal of Robotic Systems 18(4): 187-196.
Park, Y. S., I. S. Kwak, et al. (2001). "Implementation of artificial neural networks in patterning and prediction of exergy in response to temporal dynamics of benthic macroinvertebrate communities in streams." Ecological Modelling 146(1-3): 143-157.
Park, Y.-S., I.-S. Kwak, et al. (2001). "Implementation of artificial neural networks in patterning and prediction of exergy in response to temporal dynamics of benthic macroinvertebrate communities in streams." Ecological Modelling 146(1-3): 143-157.
Park, J. and D. W. Edington (2001). "A sequential neural network model for diabetes prediction." Artificial Intelligence In Medicine 23(3): 277-293.
Park, Y. S., R. Cereghino, et al. (2003). "Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters." Ecological Modelling 160(3): 265-280.
Park, Y. S., P. F. M. Verdonschot, et al. (2003). "Patterning and predicting aquatic macroinvertebrate diversities using artificial neural network." Water Research 37(8): 1749-1758.
Park, Y.-S., P. F. M. Verdonschot, et al. (2003). "Patterning and predicting aquatic macroinvertebrate diversities using artificial neural network." Water Research 37(8): 1749-1758.
Park, Y.-S., R. Cereghino, et al. (2003). "Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters." Ecological Modelling 160(3): 265-280.
Parlos, A. G., O. T. Rais, et al. (2000). "Multi-step-ahead prediction using dynamic recurrent neural networks." Neural Networks: The Official Journal Of The International Neural Network Society 13(7): 765-786.
Parmanto, B. "Agitating Dissent: Methods for Improving Performance of a Neural Network Committee by Error Decorrelation (Committee Architecture)." DAI, , 57, no. 10B, (1995): 6374.
Parmanto, B. and H. R. Doyle (2001). "Recurrent neural networks for predicting outcomes after liver transplantation: representing temporal sequence of clinical observations." Methods Of Information In Medicine 40(5): 386-391.
Parthasarathy, S. (1993). Model predictive adaptive control of process systems using recurrent neural networks: xiii, 120 leaves.
Paruelo, J. M. and F. Tomasel (1997). "Prediction of functional characteristics of ecosystems: a comparison of artificial neural networks and regression models." Ecological Modelling 98(2-3): 173-186.
Pascarella, S. and F. Bossa (1989). "Pronet - a Microcomputer Program for Predicting the Secondary Structure of Proteins with a Neural Network." Computer Applications in the Biosciences 5(4): 319-320.
Pasika, H. J. C. (2000). "Neural network sensor fusion: Creation of a virtual sensor for cloud-base height estimation." DAI 63(02B): 947.
Pasini, A. and S. Potesta (1995). "Short-Range Visibility Forecast by Means of Neural-Network Modeling - a Case-Study." Nuovo Cimento Della Societa Italiana Di Fisica C-Geophysics and Space Physics 18(5): 505-516.
Pasini, A., F. Ameli, et al. (2001). "A neural-network approach to radon short-range forecasting from concentration time series." Nuovo Cimento Della Societa Italiana Di Fisica C-Geophysics and Space Physics 24(2): 331-337.
Pasini, A. and F. Ameli (2003). "Radon short range forecasting through time series preprocessing and neural network modeling." Geophysical Research Letters 30(7).
Pasley, A. and J. Austin "Distribution forecasting of high frequency time series." Decision Support Systems In Press, Corrected Proof.
Patchsuwan, T. (2000). "A neural networks approach for the prediction of ambient sulfur dioxide concentrations." MAI 39(03): 907.
Patel, M. I. "Rapid: A Real-Time System Architecture for Intelligent Decision-Making (Neural Networks, Expert Systems)." DAI, , 58, no. 11B, (1997): 6065.
Patel, S. S. "A Neural Network Model of Short-Term Dynamics of Human Disparity Vergence System (Eye Movements, Neural Networks)." DAI, , 56, no. 12B, (1995): 6962.
Patel, R. M., S. O. Prasher, et al. (2000). "A neural network approach to predict soil salinity." Icid Journal 49(2): 67-78.
Patel, R. M., S. O. Prasher, et al. (2002). "Soil salinity prediction using artificial neural networks." Journal of the American Water Resources Association 38(1): 91-100.
Patil, R. B. (1990). Neural networks as forecasting experts : test of dynamic modeling over time series data: ix, 141 leaves.
Patil, S., J. L. Griffith, et al. (1992). "Logistic-Regression and Neural Networks as Clinical Predictive Instruments - Does One Produce a Best Model." Clinical Research 40(2): A347-A347.
Patrick, G., S. Gabriel, et al. (2002). "Neural Network Prediction of Solar Proton Events with Long Lead Times." Esa Sp 477: 517-520.
Patterson, P., P. Van Ispelen, et al. (1997). "Forecasting US commodity exports using intra-year sales data: A neural network approach." American Journal of Agricultural Economics 79(5): 1717-1718.
Pattie, D. C. "Strategic Forecasts for Backcountry Management: Validating the Neural-Network Time Series Model." DAI, , 55, no. 11A, (1994): 3637.
Pattie, D. C. (1992). "Using Neural Networks to Forecast Recreation in Wilderness Areas." Ai Applications 6(2): 57-59.
Pattie, D. C. (1994). Strategic forecasts for backcountry management : validating the neural-network time series model: vii, 124 leaves.
Pattie, D. C. and J. Snyder (1996). "Using a neural network to forecast visitor behavior." Annals of Tourism Research 23(1): 151-164.
Pattie, D. C. and G. Haas (1996). "Forecasting wilderness recreation use: Neural network vs Regression." Ai Applications 10(1): 67-74.
Paulus, M., N. Hozack, et al. (2002). "Error Rate and Outcome Predictability Affect Neural Activation in Prefrontal Cortex and Anterior Cingulate during Decision-Making." NeuroImage 15(4): 11.
Paulus, M. P., N. Hozack, et al. (2002). "Error rate and outcome predictability affect neural activation in prefrontal cortex and anterior cingulate during decision-making." Neuroimage 15(4): 836-846.
Payeur, P., L. H. Hoang, et al. (1995). "Trajectory Prediction for Moving-Objects Using Artificial Neural Networks." Ieee Transactions on Industrial Electronics 42(2): 147-158.
Payne, R. D. "Process Control Development for the Spray Forming Process (Neural Networks)." DAI, , 55, no. 06B, (1994): 2351.
Payne, R. D., R. E. Rebis, et al. (1993). "Spray Forming Quality Predictions Via Neural Networks." Journal of Materials Engineering and Performance 2(5): 693-702.
Payne, G. O. and Potchefstroomse Universiteit vir Christelike Hoër Onderwys. (2001). Forecasting South African financial indicators using neural networks: 181 leaves.
Pedersen, A. G. and H. Nielsen (1997). "Neural network prediction of translation initiation sites in eukaryotes: perspectives for EST and genome analysis." Proceedings / ... International Conference On Intelligent Systems For Molecular Biology ; ISMB. International Conference On Intelligent Systems For Molecular Biology 5: 226-233.
Peetathawatchai, C. "The Applicability of Neural Network Systems for Structural Damage Diagnosis." DAI, , 57, no. 08B, (1996): 5206.
Peh, K. K., C. P. Lim, et al. (2000). "Use of artificial neural networks to predict drug dissolution profiles and evaluation of network performance using similarity factor." Pharmaceutical Research 17(11): 1384-1388.
Peligrad, A. A., E. Zhou, et al. (2002). "System identification and predictive control of laser marking of ceramic materials using artificial neural networks." Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering 216(I2): 181-190.
Pelliccioni, A. and E. Pessa (1997). "Forecasting of CO in an urban area by neural networks." Physica Medica 13: 398-399.
Pelliccioni, A. and U. Poli (2000). "Use of neural net models to forecast atmospheric pollution." Environmental Monitoring and Assessment 65(1-2): 297-304.
Pellionisz, A. and R. Llinas (1979). "Brain modeling by tensor network theory and computer simulation. The cerebellum: Distributed processor for predictive coordination." Neuroscience 4(3): 323-348.
Pendharkar, P. C. and J. A. Rodger (2003). "Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption." Decision Support Systems 36(1): 117-136.
Peng, T. "Neural Network Approaches to Power System Short-Term Load Forecasting." DAI, , 52, no. 11B, (1991): 6004.
Peng, T. M., N. F. Hubele, et al. (1990). Conceptual approach to the application of neural network for short-term load forecasting. Circuits and Systems, 1990., IEEE International Symposium on.
Peng, T. (1991). Neural network approaches to power system short-term load forecasting: x, 90 leaves.
Peng, T. M., N. F. Hubele, et al. (1992). "Advancement in the application of neural networks for short-term load forecasting." Power Systems, IEEE Transactions on 7(1): 250-257.
Peng, T. M., N. F. Hubele, et al. (1993). "An adaptive neural network approach to one-week ahead load forecasting." Power Systems, IEEE Transactions on 8(3): 1195-1203.
Peng, T. M., N. F. Hubele, et al. (1993). "An Adaptive Neural-Network Approach to One-Week Ahead Load Forecasting." Ieee Transactions on Power Systems 8(3): 1195-1203.
Peng, L., W. Li, et al. (2002). "An integrated scheme of neural network and optimal predictive control." Journal of University of Science and Technology Beijing 9(4): 302-304.
Penny, W. and S. J. Roberts (1997). Neural network predictions with error bars, Robotics Research Group in the Department of Engineering Science of the University of Oxford: 1-16.
Penumadu, D. "Strain Rate Effects in Pressuremeter Testing and Neural Network Approach for Soil Modeling (Pressure Meter)." DAI, , 54, no. 07B, (1993): 3752.
Perera, J. S. (2000). "Reliability modeling of micro-electromechanical systems using neural networks." DAI 62(09B): 4169.
Perez, P., A. Trier, et al. (2000). "Prediction of PM2.5 concentrations several hours in advance using neural networks in Santiago, Chile." Atmospheric Environment 34(8): 1189-1196.
Perez, P. and J. Reyes (2002). "Prediction of maximum of 24-h average of PM10 concentrations 30 h in advance in Santiago, Chile." Atmospheric Environment 36(28): 4555-4561.
Perez Velazquez, J. L., M. A. Cortez, et al. "Dynamical regimes underlying epileptiform events: role of instabilities and bifurcations in brain activity." Physica D: Nonlinear Phenomena In Press, Corrected Proof.
Perez-Chavarriia, M. A., H. H. Hidalgo-Silva, et al. (2002). "Time series prediction using artificial neural networks." Ciencias Marinas 28(1): 67-77.
Perez-Meana, H. and M. Nakano-Miyatake (1997). A continuous time structure for filtering and prediction using Hopfield Neural Networks. Biological and Artificial Computation: From Neuroscience to Technology. Berlin 33, SPRINGER-VERLAG BERLIN. 1240: 1241-1250.
Perez-Ortiz, J. A., J. Calera-Rubio, et al. (2001). Online symbolic-sequence prediction with discrete-time recurrent neural networks. Artificial Neural Networks-Icann 2001, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2130: 719-724.
Perez-Ortiz, J. A., J. Calera-Rubio, et al. (2001). "Online text prediction with recurrent neural networks." Neural Processing Letters 14(2): 127-140.
Perry, S. F. "Distributed Economic Systems with Agents That Learn (Neural Networks, Experimental Economics)." DAI, , 54, no. 04A, (1993): 1478.
Persson, M., B. Sivakumar, et al. (2002). "Predicting the dielectric constant-water content relationship using artificial neural networks." Soil Science Society of America Journal 66(5): 1424-1429.
Perzyk, M. and A. W. Kochanski (2001). "Prediction of ductile cast iron quality by artificial neural networks." Journal of Materials Processing Technology 109(3): 305-307.
Pesaran, B. (2002). "Analysis of neuronal dynamics in behaving animals." DAI 63(03B): 1216.
Pescatore, J. F. (2002). Decomposition of spring time series by discrete wavelet transform for characterization of fractured rock aquifers and hydrologic forecasting with artificial neural networks : a dissertation presented to the faculty of the Graduate School, Tennessee Technological University: xvii, 258 leaves.
Pesonen, U. J. (2001). Artificial neural network prediction of aircraft aeroelastic behavior: xiv, 159 leaves.
Pesonen, U. J. (2001). "Artificial neural network prediction of aircraft aeroelastic behavior." DAI 62(11B): 5217.
Pessoa, L., E. Gutierrez, et al. (2001). "Neural correlates of visual working memory: BOLD predicts task performance." Neuroimage 13(6): S720-S720.
Pessoa, L., E. Gutierrez, et al. (2002). "Neural correlates of visual working memory: fMRl amplitude predicts task performance." Neuron 35(5): 975-987.
Peters, G. J. (1996). "Determination of quality parameters for the Pacific whiting fishery using neural network and induction modeling." DAI 57(03B): 1940.
Petersen, R., A. Fredenslund, et al. (1994). "Artificial Neural Networks as a Predictive Tool for Vapor-Liquid-Equilibrium." Computers & Chemical Engineering 18: S63-S67.
Peterson, K. L. (1992). "Counter-Propagation Neural Networks in the Modeling and Prediction of Kovats Indexes for Substituted Phenols." Analytical Chemistry 64(4): 379-386.
Peterson, R. T. (1993). "Forecasting practices in retail industry." The Journal of Business Forecasting Methods & Systems 12(1): 11-14.
Peterson, J. K. (1995). "The use of pontryagin estimators for on-line optimal control sequence estimation: The truck backer-upper case study." Mathematical and Computer Modelling 21(1-2): 31-51.
Petridis, V. and A. Kehagias (1998). Predictive modular neural networks : applications to time series. Boston, Kluwer Academic Publishers.
Petridis, V. and A. Kehagias (1998). "Predictive Modular Neural Networks: Applications to Time Series." The Kluwer international series in engineering and computer science. VLSI, computer architecture and digital signal processing(466): ALL.
Petritis, K., L. J. Kangas, et al. (2003). "Use of artificial neural networks for the accurate prediction of peptide liquid chromatography elution times in proteome analyses." Analytical Chemistry 75(5): 1039-1048.
Petritis, K., L. J. Kangas, et al. (2003). "Use of artificial neural networks for the accurate prediction of peptide liquid chromatography elution times in proteome analyses." Analytical Chemistry 75(5): 1039-1048.
Petrosian, A., D. Prokhorov, et al. (2000). "Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG." Neurocomputing 30(1-4): 201-218.
Petrova, T. A. (1998). Hybrid neural networks models for prediction of molded part quality: 80 leaves, bound.
Pe~na, D., G. C. Tiao, et al. (2001). A course in time series analysis. New York, J. Wiley.
Pfurtscheller, G., D. Flotzinger, et al. (1991). Brain-computer interface : prediction of hand movements from single trial multi-channel EEG data with a neural network - preliminary results. Graz, Austria, Institutes for Information Processing Graz.
Pfurtscheller, G., D. Flotzinger, et al. (1992). "Prediction of the Side of Hand Movements from Single-Trial Multichannel Eeg Data Using Neural Networks." Electroencephalography and Clinical Neurophysiology 82(4): 313-315.
Pham, D. T. and X. Liu (1995). Neural networks for identification, prediction, and control. London ; New York, Springer-Verlag.
Phaniraj, M. P. and A. K. Lahiri (2003). "The applicability of neural network model to predict flow stress for carbon steels." Journal of Materials Processing Technology 141(2): 219-227.
Phelps and Ryan (1998). "Neural networks predict response biases of female túngara frogs." Proceedings: Biological Sciences 265(1393): 279-285.
Phelps, S. M. and M. J. Ryan (1998). "Neural networks predict response biases of female tungara frogs." Proceedings Of The Royal Society Of London. Series B. Biological Sciences 265(1393): 279-285.
Phelps, S. M. (1999). "Historical influences on receiver biases: Neural network simulations and behavioral studies of call recognition in the Tungara frog." DAI 61(02B): 733.
Philip Chen, C. L., Y. Cao, et al. (1998). "Materials structure-property prediction using a self-architecting neural network." Journal of Alloys and Compounds 279(1): 30-38.
Phillips, J. W. "Dynamic Meg-Based Imaging of Focal Neuronalcurrent Sources (Magnetoencephalography, Electroencephalography, Minimum Norm Imaging)." DAI, , 58, no. 05B, (1997): 2591.
Phoenix, D. A., F. Harris, et al. (2002). "The prediction of amphiphilic alpha-helices." Current Protein & Peptide Science 3(2): 201-221.
Phooi, S. K., M. Zhihong, et al. (2000). "Nonlinear and Noisy Time Series Prediction Using a Hybrid Nonlinear Neural Predictor." Lecture notes in computer science(1983): 193-198.
Phua, P. K. H., D. H. Ming, et al. (2001). "Neural network with genetically evolved algorithms for stocks prediction." Asia-Pacific Journal of Operational Research 18(1): 103-107.
Piat, F. G. P. (1999). "ARTIST: Adaptive Resonance Theory to Internalize the Structure of Tonality (a neural net listening to music)." DAI 61(02B): 1105.
Piche, S., B. Sayyar-Rodsari, et al. (2000). "Nonlinear model predictive control using neural networks." Ieee Control Systems Magazine 20(3): 53-62.
Piche, S. (2001). "Prediction of packed bed hydrodynamics using neural network computing." MAI 39(05): 1416.
Piche, S., F. Larachi, et al. (2002). "Improving the prediction of liquid back-mixing in trickle-bed reactors using a neural network approach." Journal of Chemical Technology and Biotechnology 77(9): 989-998.
Piche, S., S. Levesque, et al. (2003). "Prediction of HETP for randomly packed towers operation: integration of aqueous and non-aqueous mass transfer characteristics into one consistent correlation." Separation and Purification Technology 33(2): 145-162.
Piché, S. (2000). Prediction of packed bed hydrodynamics using neural network computing.
Piché, S. (2001). Prediction of packed bed hydrodynamics using neural network computing. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Pidaparti, R. M. V. and M. J. Palakal (1995). "Neural-Network Approach to Fatigue-Crack-Growth Predictions under Aircraft Spectrum Loadings." Journal of Aircraft 32(4): 825-831.
Pidaparti, R. M. V. and M. J. Palakal (1998). "Fatigue crack growth predictions in aging aircraft panels using optimization neural network." Aiaa Journal 36(7): 1300-1304.
Pidaparti, R. M., S. Jayanti, et al. (2002). "Residual strength and corrosion rate predictions of aging aircraft panels: Neural network study." Journal of Aircraft 39(1): 175-180.
Pigram, G. M. and T. R. MacDonald (2001). "Use of neural network models to predict industrial bioreactor effluent quality." Environmental Science & Technology 35(1): 157-162.
Pijanowski, B. C., D. G. Brown, et al. (2002). "Using neural networks and GIS to forecast land use changes: a Land Transformation Model." Computers, Environment and Urban Systems 26(6): 553-575.
Pinto, D. J. "Computational, Experimental, and Analytic Explorations of Neuronal Circuits in the Cerebral Cortex." DAI, , 59, no. 01B, (1997): 0108.
Pinto, C. S. P. (1996). Prediction of aflatoxin contamination in peanuts using artificial neural networks: x, 86 leaves.
Piras, A., B. Buchenel, et al. (1996). "Heterogeneous artificial neural network for short term electrical load forecasting." Ieee Transactions on Power Systems 11(1): 397-402.
Pispitsos, S. P. (1999). "Neural networks for control signal reconstruction in non- linear systems with an application to aircraft dynamics." MAI 38(05): 1332.
Pitariu, H. D. and H. A. Pitariu (1996). "Predicting managerial success: Traditional methods vs neural networks." International Journal of Psychology 31(3-4): 54147-54147.
Planz B., Deix T., et al. (2003). "Do immunohistochemical markers increase outcome prediction of a neural network for patients with bladder cancer." European Urology Supplements 2(1): 112.
Planz Bernhard, Deix Thomas, et al. (2002). "How accurate is an artificial neural network for outcome prediction in patients with superficial bladder cancer." European Urology Supplements 1(1): 81.
Pleune, T. T. and O. K. Chopra (2000). "Using artificial neural networks to predict the fatigue life of carbon and low-alloy steels." Nuclear Engineering and Design 197(1-2): 1-12.
Plock, S. E. "Responsiveness of Neurons in the Hamster Parabrachial Nuclei to Taste Mixtures." DAI, , 41, no. 10B, (1980): 3928.
Ploghaus, A. and University of Oxford. Medical Sciences Division. (2001). A functional magnetic resonance analysis of the neural networks mediating pain and its prediction. c2001.: [8], 163 leaves.
Plummer, E. A. (2000). Time series forecasting with feed-forward neural networks : guidelines and limitations: iv, 59 leaves, bound.
Poddig, T. (1994). Mittelfrisitige Zinsprognosen mittels KNN und ökonometrischer Verfahren. Neuronale Netze in der Ökonomie. München, Rehkugler, Heinz
Zimmermann, Hans George: 209-290.
Poddig, T. (1994). Wechselkursprognosen. Neuronale Netze in der Ökonomie. H. Rehkugler and H. G. Zimmermann. München: 290-336.
Poddig, T. and H. Rehkugler (1996). "A 'world' model of integrated financial markets using artificial neural networks." Neurocomputing 10: 251-273.
Pofahl, W. E. and S. D. Izenberg (1997). "The use of neural networks to predict complications in acute pancreatitis." Gastroenterology 112(4): A473-A473.
Pofahl, W. E., S. M. Walczak, et al. (1998). "Predicting length of stay in acute pancreatitis with a neural network." Gastroenterology 114(4): A491-A491.
Pofahl, W. E., S. M. Walczak, et al. (1998). "Use of an artificial neural network to predict length of stay in acute pancreatitis." The American Surgeon 64(9): 868-872.
Poggio, T. and F. Girosi (1990). "Networks for approximation and learning." Proceedings of the IEEE 78(9): 1481-1497.
Poh, H. L. "A Neural Network Approach for Marketing Strategies Research and Decision Support." DAI, , 52, no. 03A, (1991): 1003.
Poh, H. L. and T. Jasic (1995). Forecasting and analysis of marketing data using neural networks: a case of advertising and promotion impact. Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on.
Pol, A. P. and J. J. M. Moreno (2002). "Artificial neural networks applied to the survival analisis: a comparative analysis study with Cox regression model in its predictive aspect." Psicothema 14(3): 630-636.
Polanski, J., R. Gieleciak, et al. "The comparative molecular surface analysis (COMSA)--a nongrid 3D QSAR method by a coupled neural network and PLS system: predicting pK(a) values of benzoic and alkanoic acids." Journal Of Chemical Information And Computer Sciences 42(2): 184-191.
Polanski, J., R. Gieleciak, et al. (2002). "The comparative molecular surface analysis (COMSA) - A nongrid 3D QSAR method by a coupled neural network and PLS system: Predicting pK(a) values of benzoic and alkanoic acids." Journal of Chemical Information and Computer Sciences 42(2): 184-191.
Poli, I. and R. D. Jones (1994). "A Neural-Net Model for Prediction." Journal of the American Statistical Association 89(425): 117-121.
Poliac, M. O., Army High Performance Computing Research Center., et al. (1992). Prediction of protein folding using the shift-learn method with a large scale neural network. Minneapolis, MN, Army High Performance Computing Research Center.
Poligne, I., B. Broyart, et al. (2002). "Prediction of Mass-transfer Kinetics and Product Quality Changes during a Dehydration-Impregnation-Soaking Process using Artificial Neural Networks. Application to Pork Curing." Lebensmittel-Wissenschaft und-Technologie 35(8): 748-756.
Pollastri, G., P. Baldi, et al. (2001). "Improved prediction of the number of residue contacts in proteins by recurrent neural networks." Bioinformatics (Oxford, England) 17(1): S234-S242.
Pollastri, G., P. Baldi, et al. (2002). "Prediction of coordination number and relative solvent accessibility in proteins." Proteins 47(2): 142-153.
Pollastri, G., D. Przybylski, et al. (2002). "Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles." Proteins 47(2): 228-235.
Pompano, J. M. (1999). "Neural networks in the analysis of water-soluble sulfonylurea herbicides using an LC/MS." DAI 60(09B): 4578.
Poole, A. W. V. and L. A. McKinnell (2000). "On the predictability of f(o)F(2) using neural networks." Radio Science 35(1): 225-234.
Poopalasingam, S. "Neural Network-Based Digital Compensation Schemes for Industrial Pressure Sensors." DAI, , 59, no. 03C, (1995): 0761.
Porksen, N. (2002). "Early changes in beta-cell function and insulin pulsatility as predictors for type 2 diabetes." Diabetes, Nutrition & Metabolism 15(Supplement): 9-14.
Porr, B. and F. Worgotter (2002). "Predictive learning in rate-coded neuronal networks: a theoretical approach towards classical conditioning." Neurocomputing 44-46: 585-590.
Porter, R. S., J. Kaplan, et al. (2001). "Prediction of hyperkalemia in dogs from electrocardiographic parameters using an artificial neural network." Academic Emergency Medicine 8(6): 599-603.
Porter, R. S., J. Kaplan, et al. (2001). "Prediction of hyperkalemia in dogs from electrocardiographic parameters using an artificial neural network." Academic Emergency Medicine: Official Journal Of The Society For Academic Emergency Medicine 8(6): 599-603.
Porter, C., C. O'Donnell, et al. (2001). "Artificial neural network model to predict biochemical failure after radical prostatectomy." Molecular Urology 5(4): 159-162.
Porter, C. R., C. O'Donnell, et al. (2002). "Predicting the outcome of prostate biopsy in a racially diverse population: a prospective study." Urology 60(5): 831-835.
Portugal, M. S. (1994). Neural networks versus time series : a forecasting exercise. Porto Alegre, RS, Universidade Federal do Rio Grande do Sul Curso de Pós-Graduação em Economia.
Poskar, C. H. "The Application of Artificial Neural Networks to Short Term Load Forecasting." MAI, , 32, no. 05, (1993): 1447.
Poskar, C. H. (1994). The application of artificial neural networks to short term load forecasting. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Potharst, R., U. Kaymak, et al. (2001). Neural Networks for Target Selection in Direct marketing. Erasmus Research Institute of Management (ERIM): 1-20.
Potocnik, P. and I. Grabec (2002). "Nonlinear model predictive control of a cutting process." Neurocomputing 43(1-4): 107-126.
Potter, S. R., M. C. Miller, et al. (1999). "Genetically engineered neural networks for predicting prostate cancer progression after radical prostatectomy." Urology 54(5): 791-795.
Potter, R. B. and S. Draghici (2002). "A SOFM approach to predicting HIV drug resistance." Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing: 77-87.
Potters, M. (1994). Toward a predictive theory of neural computation motion estimation in the fly's visual system. Ann Arbor, Mich., University Microfilms International.
Potters, M. (1994). Toward a predictive theory of neural computation : motion estimation in the fly's visual system: xx, 113 leaves.
Potts, A. J. C., M. R. Brickley, et al. (1995). "Can a Neural-Network Predict Focal Lymphocytic Sialadenitis from Clinical and Serological Data." Journal of Dental Research 74(3): 843-843.
Potukuchi, S. and A. S. Wexler (1997). "Predicting vapor pressures using neural networks." Atmospheric Environment 31(5): 741-753.
Poulakis, V., U. Witzsch, et al. (2002). "Prediction of calculus clearance after extracorporeal shock wave lithotripsy of calculi in the inferior kidney calices. Application of the artificial neural network." Der Urologe. Ausg. A 41(6): 583-595.
Poulakis, V., P. Dahm, et al. (2003). "Prediction of lower pole stone clearance after shock wave lithotripsy using an artificial neural network." The Journal Of Urology 169(4): 1250-1256.
Poursardar, M. (1995). Applications of neural networks to electric short term load forecasting: vi, 70 leaves.
Pradhan, S. K. (2002). "Dynamic soil-structure interaction using disturbed state concept and artificial neural networks for parameter evaluation." DAI 63(04B): 1971.
Prank, K., C. Jurgens, et al. (1998). "Predictive neural networks for learning the time course of blood glucose levels from the complex interaction of counterregulatory hormones." Neural Computation 10(4): 941-953.
Prasad, G., E. Swidenbank, et al. (1998). "A neural net model-based multivariable long-range predictive control strategy applied in thermal power plant control." Ieee Transactions on Energy Conversion 13(2): 176-182.
Prasad, K. N. and B. Ramamoorthy (2001). "Tool wear evaluation by stereo vision and prediction by artificial neural network." Journal of Materials Processing Technology 112(1): 43-52.
Prasad, J. and S. S. Bhagwat (2002). "Simple neural network models for prediction of physical properties of organic compounds." Chemical Engineering & Technology 25(11): 1041-1046.
Prater, J. S. "Fault Tolerance of Feedforward Neural Networks." DAI, , 53, no. 07B, (1992): 3687.
Prather, D. W. (1998). Neural network's applicability for predicting college football plays: vi, 38 leaves.
Predrag, M. M., S. S. Goran, et al. (2000). "Acute myocardial infarction morbidity after previous revascularization: Prediction using neural networks." Journal of the American College of Cardiology 35(2): 556A-556A.
Prentice, S. D. "Neurocomputational Approaches to Modelling the Generation and Control of Human Locomotion (Neural Networks, Central Pattern Generator, Gait Modification)." DAI, , 56, no. 10B, (1995): 5348.
Prentza, A. "Blood Pressure Waveform Characteristics Exposed by Spectral Analysis and Neural Networks (Finger, Multilayer Perception, Cardiovascular Aging)." DAI, , 59, no. 01C, (1997): 0129.
Prieto, M. M., E. Montanes, et al. (2001). "Power plant condenser performance forecasting using a non-fully connected artificial neural network." Energy 26(1): 65-79.
Prina, J., A. Cipriano, et al. (1997). "One day ahead load forecasting by recurrent neural networks." Engineering Intelligent Systems for Electrical Engineering and Communications 5(3): 163-166.
Principe, J. C. and J.-M. Kuo (1994). Dynamic Modelling of Chaotic Time Series with Neural Networks. NIPS.
Pritchard, W. S., D. W. Duke, et al. (1994). "Eeg-Based, Neural-Net Predictive Classification of Alzheimers-Disease Versus Control Subjects Is Augmented by Nonlinear Eeg Measures." Electroencephalography and Clinical Neurophysiology 91(2): 118-130.
Proll, T. "Model Predictive Control Based on Nonlinear Autoregressive and Neural Network Models." DAI, , 54, no. 12B, (1993): 6346.
Pröll, T. (1993). Model predictive control based on nonlinear autoregressive and neural network models: xviii, 355 leaves.
Prybutok, V. R., J. S. Yi, et al. (2000). "Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations." European Journal of Operational Research 122(1): 31-40.
Prybutok, V. R., J. Yi, et al. (2000). "Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations." European Journal of Operational Research 122(1): 31-40.
Przybylski, R. and R. C. Zambiazi (2000). "Predicting oxidative stability of vegetable oils using neural network system and endogenous oil components." Journal of the American Oil Chemists Society 77(9): 925-931.
Psichogios, D. C. "Structured Neural Networks: Biased Empirical Models for System Identification (Process Control)." DAI, , 54, no. 03B, (1993): 1536.
Pu, G. C. and N. M. Chen (1995). "Neural-Network-Based Substation Short-Term Load Forecasting." Journal of the Chinese Institute of Engineers 18(3): 333-341.
Qi, M. I. N. "Financial Applications of Generalized Nonlinear Nonparametric Econometric Methods (Artificial Neural Networks)." DAI, , 57, no. 07A, (1996): 3154.
Qi, J. H., X. Y. Zhang, et al. (2000). "Prediction of programmed-temperature retention values of naphthas by artificial neural networks." SAR And QSAR In Environmental Research 11(2): 117-131.
Qi, M. (2001). "Predicting US recessions with leading indicators via neural network models." International Journal of Forecasting 17(3): 383-401.
Qi, M. and G. P. Zhang (2001). "An investigation of model selection criteria for neural network time series forecasting." European Journal of Operational Research 132(3): 666-680.
Qi, M. (2002). Forecasting real time financial series. Proceedings of the 2002 International Joint Conference on Neural Networks., Honolulu, HI, USA.
Qi, M. and Y. Wu (2003). "Nonlinear prediction of exchange rates with monetary fundamentals." Journal of Empirical Finance 10(5): 623-640.
Qi, M. and S. Yang (2003). "Forecasting consumer credit card adoption: what can we learn about the utility function?" International Journal of Forecasting 19(1): 71-85.
Qian, N. and T. J. Sejnowski (1988). "Predicting the Secondary Structure of Globular-Proteins Using Neural Network Models." Journal of Molecular Biology 202(4): 865-884.
Qin, S.-Z. "Integration and Comparison of Neural Networks and Conventional Modeling Techniques (Partial Least Squares, Principal Component Analysis)." DAI, , 53, no. 11B, (1992): 5859.
Qin, S. J. and T. J. McAvoy (1992). "Nonlinear PLS modeling using neural networks." Computers & Chemical Engineering 16(4): 379-391.
Qing, H. and D. B. Hertz (1994). "An Inappropriate Use of Neural Networks for Forecasting." Neural Networks 7(1): 203-203.
Qing, Z. and S. J. Stanley (1997). "Forecasting raw-water quality parameters for the north saskatchewan river by neural network modeling." Water Research 31(9): 2340-2350.
Qiu, G. Z., X. Y. Wang, et al. (1998). "Molten salt phase diagrams calculation using artificial neural network or pattern recognition bond parameters - Part 2. Prediction of phase diagrams of ternary molten salt systems." Transactions of Nonferrous Metals Society of China 8(2): 313-318.
Queralto, J. M., J. Torres, et al. (1999). "Neural networks for the biochemical prediction of bone mass loss." Clinical Chemistry And Laboratory Medicine: CCLM / FESCC 37(8): 831-838.
Queralto, J., A. Torres, et al. (2000). "Neural networks and time series analysis in the forecast of the laboratory workload." Clinical Chemistry 46(6): A67-A67.
Queralto, J., J. Torres, et al. (2000). "Plasma vancomycin concentrations predicted by neural networks." Clinical Chemistry 46(6): A187-A188.
Queraltu, J. M., J. Torres, et al. (1997). "Neural networks in bone mass loss prediction." Clinical Chemistry 43: 71-71.
Quero, J. M., E. F. Camacho, et al. (1993). "Neural-Network for Constrained Predictive Control." Ieee Transactions on Circuits and Systems I-Fundamental Theory and Applications 40(9): 621-626.
Quero Reboul, J. M. "REDES DE NEURONAS: ANALISIS Y SIMULACION MEDIANTE ARQUITECTURA MULTIPROCESADOR Translated: NEURAL NETWORKS: ANALYSIS AND SIMULATION USING A MULTIPROCESSOR ARCHITECTURE." DAI, , 54, no. 04C, (1991): 1263.
Quinn, T. S. "Determination of the Employer-Employee Relationship: A Neural Network Approach to Macro-Case Analysis." DAI, , 57, no. 06A, (1996): 2557.
Quinn, T. S. (1996). "Determination of the employer-employee relationship: A neural network approach to macro-case analysis." DAI 57(06A): 2557.
Quinones, C., J. Caceres, et al. (2000). "Prediction of drug half-life values of antihistamines based on the CODES/neural network model." Quantitative Structure-Activity Relationships 19(5): 448-454.
Quirk, G. J. "A Spatial Analysis of the Firing of Neurons in the Medial Entorhinal Cortex of the Rat." DAI, , 51, no. 07B, (1990): 3266.
Rabke, J. B. (1998). Statistical, neural net, and neuro-fuzzy approaches to predictive data mining: ix, 128 leaves.
Rabow, A. A. (1996). "Application of artificial intelligence methods to solve the protein folding problem: The use of neural networks and genetic algorithms for optimization." DAI 57(03B): 1660.
Rae, A. (1996). Short term load forecasting using artificial neural networks: 66 l.
Ragg, T., W. Menzel, et al. (2002). "Bayesian learning for sales rate prediction for thousands of retailers." Neurocomputing 43(1-4): 127-144.
Rahman, S. T. (1994). Time series prediction with neural network: xi, 65 leaves.
Rahman, M. S. and J. Wang (2002). "Fuzzy neural network models for liquefaction prediction." Soil Dynamics and Earthquake Engineering 22(8): 685-694.
Rajan, S. (1994). Neural network for predicting time-in-queue delay at signalized intersections: ii, 55 leaves.
Rajasekaran, S. and R. Amalraj (2002). "Prediction of ultimate shear strength of reinforced-concrete deep beams using neural networks - Discussion." Journal of Structural Engineering-Asce 128(12): 1623-1624.
Rajasekaran, S. and R. Amalraj (2002). "Prediction of strength and workability of high performance concrete composites using artificial neural networks." Indian Journal of Engineering and Materials Sciences 9(2): 109-114.
Rajasekaran, S. and R. Amalraj (2002). "Predictions of design parameters in civil engineering problems using SLNN with a single hidden RBF neuron." Computers & Structures 80(31): 2495-2505.
Rajasekaran, S., R. Prakasam, et al. (2003). "Prediction of humidification power in textile-spinning mills using functional and neural networks." Journal of Energy Engineering-Asce 129(1): 2-15.
Rajimehr, R., S. Farsiu, et al. (2002). "Prediction of lupus nephritis in patients with systemic lupus erythematosus using artificial neural networks." Lupus 11(8): 485-492.
Raju, G. K. P. "Automatic Learning from Process Data Using Neural Network Based Methodologies." DAI, , 59, no. 10B, (1998): 5475.
Rallo, R., J. Ferre-Gine, et al. (2002). "Neural virtual sensor for the inferential prediction of product quality from process variables." Computers & Chemical Engineering 26(12): 1735-1754.
Ramakrishna, G. and O. P. Malik (1999). "Parallel neural network-fuzzy expert system strategy for short-term load forecasting: System implementation and performance evaluation - Discussion." Ieee Transactions on Power Systems 14(3): 1106-1106.
Ramamurti, V. (1993). Neural networks for time series prediction and signal detection: 62 leaves.
Ramani, S. "Automobile Exhaust Catalyst Design Using Neural Networks Methodology." MAI, , 32, no. 05, (1993): 1427.
Ramasamy, S. "Process Identification and Advanced Controls with Neural Networks." DAI, , 57, no. 04B, (1995): 2717.
Ramasamy, S. (1995). "Process identification and advanced controls with neural networks." DAI 57(04B): 2717.
Ramaswamy, S. "Decision Support System Using Neural Networks (Ski Resort)." MAI, , 36, no. 01, (1997): 0209.
Ramaswamy Ashok, T. (2002). Neural adaptive prediction: 85 p.
Ramesh, M. C., R. Rajamanickam, et al. (1995). "The Prediction of Yarn Tensile Properties by Using Artificial Neural Networks." Journal of the Textile Institute 86(3): 459-469.
Ramesh, M. C., R. Rajamanickam, et al. (1996). "The use of neural nets to predict yarn tensile properties - Reply." Journal of the Textile Institute 87(3): 596-596.
Ramirez Serrano, A. (1993). Neural network prediction of flowfield over unsteady airfoils: viii, 126 leaves.
Ramirez-Beltran, N. D. and J. A. Montes (1997). "Neural networks for on-line parameter change detections in time series models." Computers & Industrial Engineering 33(1-2): 337-340.
Ramuhalli, P. (2002). Neural network based iterative algorithms for solving electromagnetic NDE inverse problems: 110 leaves.
Ramuhalli, P. (2002). "Neural network based iterative algorithms for solving electromagnetic NDE inverse problems." DAI 63(04B): 1993.
Ranaweera, D. K. "Advancements in the Application of Neural Networks and Fuzzy Logic for Short Term Load Forecasting." DAI, , 56, no. 12B, (1996): 6965.
Ranaweera, D. K., N. F. Hubele, et al. (1995). "Application of Radial Basis Function Neural-Network Model for Short-Term Load Forecasting." Iee Proceedings-Generation Transmission and Distribution 142(1): 45-50.
Ranaweera, D. K. (1996). Advancements in the application of neural networks and fuzzy logic for short term load forecasting: xi, 94 leaves.
Ranaweera, D. K., G. G. Karady, et al. (1996). "Effect of probabilistic inputs on neural network-based electric load forecasting." Ieee Transactions on Neural Networks 7(6): 1528-1532.
Rangadass, V. "Nonlinear Time Series Forecasting: A Recurrent Neural Network Approach." DAI, , 58, no. 01B, (1996): 0284.
Rangadass, V. (1996). Nonlinear time series forecasting : a recurrent neural network approach: xvii, 175 leaves.
Rangaratnam, B. (1998). Nonlinear model predictive distillation control using an extended neural Hammerstein model: xi, 191 leaves.
Ranjithan, S. "A Neural Network-Based Method for Evaluating a Spatially Distributed Parameter Field: An Application in Groundwater Remediation under Uncertainty." DAI, , 53, no. 10B, (1992): 5349.
Rao, H. S. and A. Mukherjee (1996). "Artificial neural networks for predicting the macromechanical behaviour of ceramic-matrix composites." Computational Materials Science 5(4): 307-322.
Rao, R. P. N. and D. H. Ballard (1997). "Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex." Neural computation 9(4): 44.
Rapp, P. E. (1991). [The Nonlinear brain from epilepsy to cognition : analysis of neural spike trains and EEG time series].
Rask, J. M. R. (2001). Neural-network based EMG signal processing to reduce torque prediction error in a computational model of the human elbow joint: xiii, 167 leaves.
Ratsirahonana-Ratokobe, A. L. "Les Reseaux Neuronaux Appliques Aux Series Chronologiques (French Text)." MAI, , 35, no. 01, (1995): 0091.
Rattray, J. J. (1998). "Neural Network Predictive Process Modeling: Applications to Food Processing (Fermentation, Wine)." DAI 60(07B): 3037.
Rattray, J., J. D. Floros, et al. (1999). Neural Network Predictive Process Modeling : applications to food processing. New York, N.Y., distributed by American Institute of Chemical Engineers.
Rauf, F. "Nonlinear Adaptive Filtering: A Unified Approach (Chaos, Neural Network, Limit Cycles, Time Series)." DAI, , 54, no. 03B, (1993): 1584.
Rawat, A. S. (1998). Predicting perturbation theory errors in nuclear core power distributions using Artificial Neural Networks: 42 leaves.
Razavi, S. M. A., S. M. Mousavi, et al. (2003). "Dynamic prediction of milk ultrafiltration performance: A neural network approach." Chemical Engineering Science 58(18): 4185-4195.
Rebello, N. S. "Modeling and Experiments on Tunneling in Floating-Gate Memory Cells with Applications in Electronic Artificial Neural Networks." DAI, , 57, no. 09B, (1996): 5722.
Rech, G. (2001). Modelling and forecasting economic time series with single hidden-layer feedforward artificial neural network models. The Economic Research Institute. Stockholm, Sweden, Stockholm School of Economics.
Rech, G. (2002). Forecasting with artificial neural network models. SSE / EFI Working Paper Series in Economics and Finance. Stockholm, Sweden: 38.
Recknagel, F. (1997). "ANNA - Artificial Neural Network model for predicting species abundance and succession of blue-green algae." Hydrobiologia 349: 47-57.
Recknagel, F., M. French, et al. (1997). "Artificial neural network approach for modelling and prediction of algal blooms." Ecological Modelling 96(1-3): 11-28.
Recknagel, F., M. French, et al. (1997). "Artificial neural network approach for modelling and prediction of algal blooms." Ecological Modelling 96(1-3): 11-28.
Reddy, V. N. "Process Monitoring and Analysis Using Nonlinear Data Dimensionality Reduction (Nonlinear Pca, Neural Networks)." DAI, , 58, no. 04B, (1997): 2012.
Redei, L., M. Fried, et al. (1998). "A modified learning strategy for neural networks to support spectroscopic ellipsometric data evaluation." Thin Solid Films 313-314: 149-155.
Reed, R. D. "Some Aspects of Generalization in Feed-Forward Artificial Neural Networks." DAI, , 56, no. 12B, (1995): 6965.
Reed, R. (1993). "Pruning algorithms-a survey." Neural Networks, IEEE Transactions on 4(5): 740-747.
Reeves, R. J. (1999). A comparison of the accuracy of a traditional method to a neural network in predicting the enrollment of admitted students at a selective research institution: vi, 31 leaves.
Refenes, A. N., M. Azema-Barac, et al. (1993). "Stock ranking: neural networks vs multiple linear regression." IEEE International Conference on Neural Networks, 1993 3: 1419-1426.
Refenes, A. N., A. Zapranis, et al. (1994). "Stock Performance Modeling Using Neural Networks: A Comparative Study With Regression Models." Neural Networks 7(2): 375-388.
Refenes, A. N. (1994). "Neural Networks - Forecasting Breakthrough or Passing Fad - Comments." International Journal of Forecasting 10(1): 43-46.
Refenes, A. N. (1994). "Comments on 'neural networks: Forecasting breakthrough or passing fad' by C. Chatfield." International Journal of Forecasting 10(1): 43-46.
Refenes, A. P. N. and W. T. Holt (2001). "Forecasting volatility with neural regression: A contribution to model adequacy." Ieee Transactions on Neural Networks 12(4): 850-864.
Regier, T. P. "The Acquisition of Lexical Semantics for Spatial Terms: A Connectionist Model of Perceptual Categorization (Neural Networks)." DAI, , 54, no. 06B, (1992): 3191.
Reh, L. and H. W. Ye (2000). "Neural networks for on-line prediction and optimization of circulating fluidized bed process steps." Powder Technology 111(1-2): 123-131.
Reh, L. and H. Ye (2000). "Neural networks for on-line prediction and optimization of circulating fluidized bed process steps." Powder Technology 111(1-2): 123-131.
Rehkugler, H. and T. Poddig (1991). "Artificial Neural Networks in Financial Analysis - a New Approach to Forecast Movements of Stocks, Indexes and Currencies." Wirtschaftsinformatik 33(5): 365-374.
Rehkugler, H. (1993). Kurzfrisitge Wechselkurprognosen mit Künstlichen Neuronalen Netzen. Finanzmarktanwendungen neuronaler Netze und ökonometrischer Verfahren. G. Bol, G. Nakhaeizadeh and K.-H. Vollmer: 1-24.
Rehkugler, H. and M. Kerling (1995). "Utilization of Neural Networks for Purposes of Analysis and Forecasting." Betriebswirtschaftliche Forschung Und Praxis 47(3): 306-324.
Reilly, R. G., M. T. Kechadi, et al. (1998). "Using recurrent neural networks to predict aspects of 3D structure of folded copolymer sequences." Nuovo Cimento Della Societa Italiana Di Fisica D-Condensed Matter Atomic Molecular and Chemical Physics Fluids Plasmas Biophysics 20(12BIS): 2565-2573.
Reinhardt, A. and T. Hubbard (1998). "Using neural networks for prediction of the subcellular location of proteins." Nucleic Acids Research 26(9): 2230-2236.
Reiter, D. F. "Prediction of Short-Term Natural Gas Prices Using Econometric and Neural Network Models (Forecasting, Commodity, Risk Management, Deregulation)." DAI, , 59, no. 08A, (1998): 3130.
Reiter, D. F. (1998). Prediction of short-term natural gas prices using econometric and neural network models: xii, 214 leaves.
Reiter, D. F. (1998). "Prediction of Short-Term Natural Gas Prices Using Econometric and Neural Network Models (Forecasting, Commodity, Risk Management, Deregulation)." DAI 59(08A): 214.
Remzi, M., T. Anagnostou, et al. (2003). "An artificial neural network to predict the outcome of repeat prostate biopsies." Urology 62(3): 456-460.
Rengaswamy, V. K. (1998). Performance reliability prediction : a comparison of neural network and statistical models: xii, 86 leaves.
Repenning, J. V. (1996). Neural networks vs. regression models : forecasting human decisions in non-linear dynamic systems: 67 p.
Resch, W., N. Hoffman, et al. (2001). "Improved success of phenotype prediction of the human immunodeficiency virus type 1 from envelope variable loop 3 sequence using neural networks." Virology 288(1): 51-62.
Reynolds, J. H. "Neural Network Architectures for Learning, Prediction, and Probability Estimation." DAI, , 54, no. 08B, (1994): 4013.
Reynolds, S. B. "A Neural Network Approach to Box-Jenkins Model Identification (Arima, Forecasting)." DAI, , 55, no. 02B, (1993): 0570.
Reynolds, S. B. (1993). A neural network approach to Box-Jenkins model identification: ix, 179 leaves.
Reynolds, J. H. (1994). Neural network architectures for learning, prediction, and probability estimation: x, 114 leaves.
Rhee, M. J. "Nonlinear Time Series Forecasting with Neural Networks (Stock Market, Deutschmark Futures)." DAI, , 56, no. 08A, (1995): 3243.
Rhee, M. J. (1995). Nonlinear time series forecasting with neural networks: xii, 143 leaves.
Rich, J. M. and University of California Santa Cruz. Computer Research Laboratory. (1990). Training an animated arm to reach for objects in space using neural networks. Santa Cruz, Calif., University of California Santa Cruz Computer Research Laboratory: v, 68 p.
Richard Bowen, W., M. G. Jones, et al. (1998). "Prediction of the rate of crossflow membrane ultrafiltration of colloids: A neural network approach." Chemical Engineering Science 53(22): 3793-3802.
Richard Bowen, W., M. G. Jones, et al. (2000). "Predicting salt rejections at nanofiltration membranes using artificial neural networks." Desalination 129(2): 147-162.
Richards, D. (2000). Political complexity : nonlinear models of politics. Ann Arbor, University of Michigan Press.
Richardson, T. L. "The Contribution of Ephaptic Interactions to Recruitment and Synchronization of Neuronal Discharge During Evoked Potentials in the Hippocampal Formation." DAI, , 50, no. 01B, (1988): 0081.
Richardson, C. J., A. Mbanefo, et al. (1996). "Neural network prediction of microemulsion phase behaviour." European Journal of Pharmaceutical Sciences 4(1): S139.
Richardson, C. J. and D. J. Barlow (1996). "Prediction of protein structural class and working environment using artificial neural networks." European Journal of Pharmaceutical Sciences 4(1): S84.
Richardson, C. J., A. Mbanefo, et al. (1997). "Prediction of Phase Behavior in Microemulsion Systems Using Artificial Neural Networks." Journal of Colloid and Interface Science 187(2): 296-303.
Richburg, B. A. "Machine Vision Microscopy as an on-Line Sensor for Bioprocesses (Bacillus Thuringiensis, Video Hardware, Neural Networks)." DAI, , 53, no. 07B, (1992): 3626.
Rico-Martinez, R. "Neural Networks for the Characterization of Nonlinear Deterministic Systems (Artificial Neural Networks, Signal Processing)." DAI, , 55, no. 06B, (1994): 2303.
Riddle, A. L. "Improved Processing and Pollution Reduction in a Solvent Extraction Process Using Neural Networks (Refinery, Raffinate, Furfural)." DAI, , 58, no. 02B, (1996): 0841.
Ridings, G. E., R. C. Thomson, et al. (2002). "Prediction of multiwire submerged arc weld bead shape using neural network modelling." Science and Technology of Welding and Joining 7(5): 265-279.
Riera, A. J. (2000). Predicting permeability and flow capacity distribution with back-propagation artificial neural networks. Morgantown, W. Va., West Virginia University Libraries.
Riera, A. J. (2000). "Predicting permeability and flow capacity distribution with back-propagation artificial neural networks." MAI 40(05): 1295.
Rietman, E. A., R. C. Frye, et al. (1991). "Signal Prediction by an Optically Controlled Neural Network." Applied Optics 30(8): 950-957.
Riis, S. K. and A. Krogh (1996). "Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments." Journal Of Computational Biology: a Journal Of Computational Molecular Cell Biology 3(1): 163-183.
Rilett, L. R. and D. Park (2001). Direct forecasting of freeway corridor travel times using spectral basis neural networks.
Rilett, L. R. and D. Park (2001). Direct forecasting of freeway corridor travel times using spectral basis neural networks. Travel Patterns and Behavior; Effects of Communications Technology. Washington, TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL: 140-147.
Ringwood, J. V., D. Bofelli, et al. (2001). "Forecasting electricity demand on short, medium and long time scales using neural networks." Journal of Intelligent & Robotic Systems 31(1-3): 129-147.
Riordan, J. E. (1991). A neural network based distributed system for forecasting the stock market: 60 leaves.
Riordan, J. E. and International Financial Services Research Center. (1992). A neural network based distributed system for forecasting the stock market. Cambridge, Mass., International Financial Services Research Center Sloan School of Management Massachusetts Institute of Technology.
Risbood, K. A., U. S. Dixit, et al. (2003). "Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process." Journal of Materials Processing Technology 132(1-3): 203-214.
Ritt, J. T. W. (2003). "A probabilistic analysis of forced oscillators, with application to neuronal response reliability." DAI 63(10B): 4527.
Rius, A., I. Ruisanchez, et al. (1998). "Reliability of analytical systems: use of control charts, time series models and recurrent neural networks (RNN)." Chemometrics and Intelligent Laboratory Systems 40(1): 1-18.
Rivas, V. M., J. J. Merelo, et al. "Evolving RBF neural networks for time-series forecasting with EvRBF." Information Sciences In Press, Corrected Proof.
Rivera, S. L. "Neural Networks and Micro-Genetic Algorithms for State Estimation and Optimization of Bioprocesses." DAI, , 53, no. 12B, (1992): 6429.
Rivera-Piza, H. A. "Towards the Forex Advisor: A Neural Network Model for Forecasting Foreign Exchange Rates." DAI, , 57, no. 08A, (1996): 3612.
Rivera-Pizá, H. (1996). Towards the Forex Advisor : a neural network model for forecasting foreign exchange rates: ix, 302 leaves.
Rizvi, S. A., L. C. Wang, et al. (1996). "Neural network architectures for vector prediction." Proceedings of the Ieee 84(10): 1513-1528.
Rizvi, S. A., L. C. Wang, et al. (1997). "Nonlinear vector prediction using feed-forward neural networks." Ieee Transactions on Image Processing 6(10): 1431-1436.
Rizzi, J.-C. "Analyse De La Stabilite Transitoire D'un Reseau D'energie Electrique a L'aide De Machines Neuronales (French Text)." MAI, , 35, no. 01, (1995): 0314.
Roat, S. D. "The Application of Neural Networks and System Cultivation with a Nonlinear Optimal Control Algorithm for the Chemical Process Industry." DAI, , 52, no. 06B, (1991): 3183.
Rob, L. (1998). "Room occupancy rate forecasting: a neural network approach." International Journal of Contemporary Hospitality Management 10(6): 234.
Roberts, S. M., J. Kusiak, et al. (1998). "Prediction of damage evolution in forged aluminium metal matrix composites using a neural network approach." Journal of Materials Processing Technology 80-81: 507-512.
Roberts, D. A., J. B. Holcomb, et al. (2002). "The use of polynomial neural networks for mortality prediction in uncontrolled venous and arterial hemorrhage." Journal of Trauma-Injury Infection and Critical Care 52(1): 130-135.
Roberts, D. A., J. B. Holcomb, et al. (2002). "The use of polynomial neural networks for mortality prediction in uncontrolled venous and arterial hemorrhage." The Journal Of Trauma 52(1): 130-135.
Robinson, P. R., K. Griffith, et al. (1999). "A back-propagation neural network predicts absorption maxima of chimeric human red green visual pigments." Vision research 39(9): 1707.
Robinson, P. R., K. Griffith, et al. (1999). "A back-propagation neural network predicts absorption maxima of chimeric human red/green visual pigments." Vision Research 39(9): 1707-1712.
Rocca, G., G. C. Actis, et al. (1997). "Statistic, neural network and fuzzy logic in predicting the short term response to cyclosporin for severe refractory ulcerative colitis." Gastroenterology 112(4): A1075-A1075.
Rocca, G., G. Saracco, et al. (1999). "Non response to interferon monotherapy can be predicted by probabilistic neural networks in naive patients with chronic hepatitis C." Hepatology 30(4): 370A-370A.
Roche, O., G. Trube, et al. (2002). "A virtual screening method for prediction of the HERG potassium channel liability of compound libraries." Chembiochem: a European Journal Of Chemical Biology 3(5): 455-459.
Rodin, E. Y. and S. M. Amin (1992). "Maneuver Prediction in Air Combat Via Artificial Neural Networks." Computers & Mathematics with Applications 24(3): 95-&.
Rodriguez-Maranon, M. J., R. M. Bush, et al. (2002). "Prediction of the membrane-spanning beta-strands of the major outer membrane protein of Chlamydia." Protein Science: a Publication Of The Protein Society 11(7): 1854-1861.
Rogers, L. L. "Optimal Groundwater Remediation Using Artificial Neural Networks and the Genetic Algorithm." DAI, , 53, no. 09B, (1992): 4567.
Rogers, J. L. and Langley Research Center. (1993). Application of a neural network as a potential aid in predicting NTF pump failure. Hampton, Va.
Springfield, Va., National Aeronautics and Space Administration Langley Research Center ;
For sale by the National Technical Information Service.
Rogers, J. L. and Langley Research Center. (1993). Application of a neural network as a potential aid in predicting NTF pump failure. Hampton, Va.
Springfield, Va., National Aeronautics and Space Administration Langley Research Center ;
For sale by the National Technical Information Service.
Rogers, S. J., H. C. Chen, et al. (1995). "Predicting Permeability from Porosity Using Artificial Neural Networks." Aapg Bulletin-American Association of Petroleum Geologists 79(12): 1786-1797.
Rogers, S. F. (2000). "Prediction of fracture frequency from wireline data with the aid of artificial neural networks." Transactions of the Institution of Mining and Metallurgy Section B-Applied Earth Science 109: B190-B195.
Rognvaldsson, T. S. "Aspects of Artificial Neural Networks, with Applications in High Energy Physics (Neural Networks)." DAI, , 55, no. 03C, (1994): 0920.
Roh, M. S., S. W. Cheon, et al. (1991). "Thermal Power Prediction of Nuclear-Power-Plant Using Neural Network and Parity Space Model." Ieee Transactions on Nuclear Science 38(2): 866-872.
Roh, M. S., S. W. Cheon, et al. (1991). "Power Prediction in Nuclear-Power-Plants Using a Back-Propagation Learning Neural Network." Nuclear Technology 94(2): 270-278.
Rojas, R. (1994). Was können neuronale Netze? Mathematische Aspekte der Angewandten Informatik. R.-H. Schulz. Mannheim, Wissenschaftsverlag: 55-88.
Rojas, I., H. Pomares, et al. (2002). "Time series analysis using normalized PG-RBF network with regression weights." Neurocomputing 42(1-4): 267-285.
Rosen, D. B. "Fast Incremental Learning, Classification, and Prediction by Self-Organizing Neural Networks." DAI, , 53, no. 08B, (1993): 4225.
Rosen, E. M. and D. C. Silverman (1992). "Corrosion Prediction from Polarization Scans Using an Artificial Neural Network Integrated with an Expert System." Corrosion 48(9): 734-745.
Rosen, D. B. (1993). Fast incremental learning, classification, and prediction by self-organizing neural networks: ix, 111 leaves.
Rosen-Zvi, M., I. Kanter, et al. (2003). "Time series prediction by feedforward neural networks - is it difficult?" Journal of Physics a-Mathematical and General 36(16): 4543-4550.
Rosenbaum, D. A. and C. E. Collyer (1998). Timing of behavior : neural, psychological, and computational perspectives. Cambridge, Mass., MIT Press.
Rosenbaum, D. A., C. E. Collyer, et al. (1998). Timing of behavior neural, psychololgical, and computational perspectives. Cambridge, Mass., MIT Press.
Rosenberg, A. L. (2002). "Recent innovations in intensive care unit risk-prediction models." Current Opinion In Critical Care 8(4): 321-330.
Ross, W. D. "Neural Network Models of Attentive Visual Search and Object Recognition." DAI, , 55, no. 03B, (1994): 1009.
Rost, B. and C. Sander (1993). "Improved Prediction of Protein Secondary Structure by Use of Sequence Profiles and Neural Networks." Proceedings of the National Academy of Sciences of the United States of America 90(16): 7558-7562.
Rost, B. and C. Sander (1994). "Combining Evolutionary Information and Neural Networks to Predict Protein Secondary Structure." Proteins-Structure Function and Genetics 19(1): 55-72.
Rost, B. (1996). PHD: Predicting one-dimensional protein structure by profile-based neural networks. Computer Methods for Macromolecular Sequence Analysis. San Diego, ACADEMIC PRESS INC. 266: 525-539.
Rost, B. (1996). "PHD: predicting one-dimensional protein structure by profile-based neural networks." Methods In Enzymology 266: 525-539.
Rost, B., R. Casadio, et al. (1996). "Refining neural network predictions for helical transmembrane proteins by dynamic programming." Proceedings / ... International Conference On Intelligent Systems For Molecular Biology ; ISMB. International Conference On Intelligent Systems For Molecular Biology 4: 192-200.
Rotondo, M. F. (2002). "Bullet trajectory predicts the need for damage control: An artificial neural network model - Editorial comment." Journal of Trauma-Injury Infection and Critical Care 52(5): 858-858.
Roush, W. B., Y. Kochera Kirby, et al. (1996). "Artificial Neural Network Prediction of Ascites in Broilers." Poultry science 75(12): 9.
Roush, W. B., Y. K. Kirby, et al. (1996). "Artificial neural network prediction of ascites in broilers." Poultry Science 75(12): 1479-1487.
Roush, W. B., T. L. Cravener, et al. (1997). "Probabilistic Neural Network Prediction of Ascites in Broilers Based on Minimally Invasive Physiological Factors." Poultry science 76(11): 4.
Roush, W. B., T. L. Cravener, et al. (1997). "Probabilistic neural network prediction of ascites in broilers based on minimally invasive physiological factors." Poultry Science 76(11): 1513-1516.
Roush, W. B. and T. L. Cravener (1997). "Artificial neural network prediction of amino acid levels in feed ingredients." Poultry Science 76(5): 721-727.
Rouze, P., N. Tolstrup, et al. (1996). "NetPlantGene, a neural network program combining local and global information for efficient prediction of splice sites in Arabidopsis thaliana genomic sequences." Archives of Physiology and Biochemistry 104(3): B50-B50.
Roy, J., J.-C. Cosset, et al. (1989). Forecasting country risk ratings using a neural network. Québec, Faculté des sciences de l'administration Université Laval.
Rozendaal, L., J. Westerga, et al. (2000). "PCR based high risk HPV testing is superior to neural network based screening for predicting incident CIN III in women with normal cytology and borderline changes." Journal Of Clinical Pathology 53(8): 606-611.
Röbel, A. (1993). The dynamic pattern selection algorithm : effective training and controlled generalization of backpropagation neural networks. Berlin, Technische Universität Berlin Fachbereich 13 Informatik.
Röbel, A. (1996). "Scaling Properties of Neural Networks for the Prediction of Time Series." Proceedings of the 1996 IEEE Workshop: Neural Networks for Signal Processing VI: 190-200.
Ruan, R., S. Almaer, et al. (1995). "Prediction of Dough Rheological Properties Using Neural Networks." Cereal Chemistry 72(3): 308-311.
Ruan, D. (1997). Intelligent hybrid systems : fuzzy logic, neural networks, and genetic algorithms. Boston, Kluwer Academic Publishers.
Ruan, R., S. Almaer, et al. (1997). "Spectrum analysis of mixing power curves for neural network prediction of dough rheological properties." Transactions of the Asae 40(3): 677-681.
Ruck, B. M. "The Application of Artificial Neural Networks to the Interpretation and Classification of Freshwater Benthic Invertebrate Communities." DAI, , 58, no. 01C, (1995): 0136.
Ruggiero, C., R. Sacile, et al. (1993). "Peptides Secondary Structure Prediction with Neural Networks - a Criterion for Building Appropriate Learning Sets." Ieee Transactions on Biomedical Engineering 40(11): 1114-1121.
Ruiz-Suarez, J. C., O. A. Mayora-Ibarra, et al. (1995). "Short-term ozone forecasting by artificial neural networks." Advances in Engineering Software 23(3): 143-149.
RuizSuarez, J. C., O. A. MayoraIbarra, et al. (1995). "Short-term ozone forecasting by artificial neural networks." Advances in Engineering Software 23(3): 143-149.
Rundle, J. B., K. F. Tiampo, et al. (2002). "Self-organization in leaky threshold systems: the influence of near-mean field dynamics and its implications for earthquakes, neurobiology, and forecasting." Proceedings Of The National Academy Of Sciences Of The United States Of America 99(1): 2514-2521.
Ruoff, C. F. "Robotic Hand-Eye Motor Learning (Neural Networks, Machine Learning, Hand Eye Calibration)." DAI, , 54, no. 04B, (1993): 2074.
Rusnak, A., M. Fikar, et al. (1996). "Generalized predictive control based on neural networks." Neural Processing Letters 4(2): 107-112.
Russell, N. T., H. H. C. Bakker, et al. (2000). "Modular neural network modelling for long-range prediction of an evaporator." Control Engineering Practice 8(1): 49-59.
Rustan, A. A. (1999). Improving hardware branch predictors using artificial neural networks: v, 88 leaves.
Rutledge, R., C. E. Wiles, et al. (2000). "An artificial neural network as a model for prediction of survival in trauma patients: Validation for a regional trauma area - Discussion." Journal of Trauma-Injury Infection and Critical Care 49(2): 220-221.
Ryder, S. A. (2001). "Discussion of "Prediction of top-oil temperature for transformers using neural networks"." Ieee Transactions on Power Delivery 16(4): 825-825.
Saad, E. W. (1996). Comparative approach of financial forecasting using neural networks: vi, 53 leaves.
Saad, E. W., D. V. Prokhorov, et al. (1998). "Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks." Ieee Transactions on Neural Networks 9(6): 1456-1470.
Saaf, L. A. "Feedforward Neural Networks for Image Classification (Artificial Neural Networks)." DAI, , 53, no. 06B, (1992): 2952.
Saarelainen, E., J. K. Kamarainen, et al. (2001). "FEATURES - Neural Prediction of Hydrogen in Vacuum Tank Degassing - Studies of a neural network classifier for a machine vision control system for vacuum tank degassing showed promising results Collected data implied that visual information can be implemented in future application fields in the steel industry." Iron & steelmaker : a publication of the Iron and Steel Society 28(3): 5.
Sabharwal, A. "A Hybrid Approach Applied to an Industrial Distillation Column That Compares Physical and Neural Network Modeling Techniques." MAI, , 37, no. 02, (1998): 0648.
Sablani, S. S., O. D. Baik, et al. (2002). "Neural networks for predicting thermal conductivity of bakery products." Journal of Food Engineering 52(3): 299-304.
Sablani, S. S., O.-D. Baik, et al. (2002). "Neural networks for predicting thermal conductivity of bakery products." Journal of Food Engineering 52(3): 299-304.
Sablani, S. S. and M. S. Rahman (2003). "Using neural networks to predict thermal conductivity of food as a function of moisture content, temperature and apparent porosity." Food Research International 36(6): 617-623.
Sacchero, G., M. C. Bruzzoniti, et al. (1998). "Comparison of prediction power between theoretical and neural-network models in ion-interaction chromatography." Journal of Chromatography A 799(1-2): 35-45.
Sacchero, G., M. Concetta Bruzzoniti, et al. (1998). "Comparison of prediction power between theoretical and neural-network models in ion-interaction chromatography." Journal of Chromatography A 799(1-2): 35-45.
Sacluti, F. R. (1999). "Modeling Water Distribution Pipe Failures Using Artificial Neural Networks." MAI 37(06): 1915.
Sadeghi, B. H. M. (2000). "A BP-neural network predictor model for plastic injection molding process." Journal of Materials Processing Technology 103(3): 411-416.
Sadiq, T., R. B. Gharbi, et al. (2003). "Use of neural networks for the prediction of frictional drag and transmission of axial load in horizontal wellbores." International Journal for Numerical and Analytical Methods in Geomechanics 27(2): 111-131.
Saeki, K., K. Funatsu, et al. (2003). "Discrimination of poly(vinyl chloride) samples with different plasticizers and prediction of plasticizer contents in poly(vinyl chloride) using near-infrared spectroscopy and neural-network analysis." Analytical Sciences: The International Journal Of The Japan Society For Analytical Chemistry 19(2): 309-312.
Saemundsson, S. R. "Dental Caries Prediction by Clinicians and Neural Networks." DAI, , 57, no. 12B, (1996): 7482.
Saemundsson, S. R. (1996). Dental caries prediction by clinicians and neural networks: xv, 186 p.
Saemundsson, S. R. and University of North Carolina at Chapel Hill. Dept. of Epidemiology. (1996). Dental caries prediction by clinicians and neural networks.
Saemundsson, S. R., J. Beck, et al. (1998). "Caries risk prediction, using artificial neural networks." Journal of Dental Research 77: 906-906.
Saengrung, A. (2002). "Modeling of reverse osmosis plants using system identification and neural networks." MAI 41(03): 856.
Safer, A. (2000). Neural networks and MARS for prediction using legal insider stock trading data: vii, 207 leaves, bound.
Safer, A. M. (2000). "Neural networks and MARS for prediction using legal insider stock trading data." DAI 61(11B): 5949.
Safer, A. M. (2001). Predicting abnormal stock returns with a nonparametric nonlinear method. International Joint Conference on Neural Networks, 2001, Washington, DC, USA.
Safer, A. M. (2002). "The application of neural networks to predict abnormal stock returns using insider trading data." Applied Stochastic Models in Business and Industry 18(4): 381-389.
Sahai, A. K. and Indian Institute of Tropical Meteorology. (2000). Reduction of AGCM systematic error by artificial neural network a new approach for dynamical seasonal prediction of Indian summer monsoon rainfall. Pune, Indian Institute of Tropical Meteorology.
Sahai, A. K., M. K. Soman, et al. (2000). "All India summer monsoon rainfall prediction using an artificial neural network." Climate Dynamics 16(4): 291-302.
Sahasrabudhe, M. (2002). Neural network applications in fluid dynamics. Mississippi State, Mississippi State University.
Sahraoui, T., S. Guessasma, et al. "Friction and wear behaviour prediction of HVOF coatings and electroplated hard chromium using neural computation." Materials Letters In Press, Uncorrected Proof.
Saini, L. M. and M. K. Soni (2002). "Artificial neural network based peak load forecasting using Levenberg-Marquardt and quasi-Newton methods." Generation, Transmission and Distribution, IEE Proceedings- 149(5): 578-584.
Saini, L. M. and M. K. Soni (2002). "Artificial neural network-based peak load forecasting using conjugate gradient methods (vol 17, pg 907, 2002." Ieee Transactions on Power Systems 17(4): 1290-1290.
Saini, L. M. and M. K. Soni (2002). "Artificial neural network-based peak load forecasting using conjugate gradient methods." Ieee Transactions on Power Systems 17(3): 907-912.
Saintdonat, J., N. Bhat, et al. (1991). "Neural Net Based Model Predictive Control." International Journal of Control 54(6): 1453-1468.
Sakawa, M., K. Kato, et al. (2001). "Cooling load prediction in a district heating and cooling system through simplified robust filter and multilayered neural network." Applied Artificial Intelligence 15(7): 633-643.
Salchenberger, L. M., E. M. Cinar, et al. (1992). "Neural Networks - a New Tool for Predicting Thrift Failures." Decision Sciences 23(4): 899-916.
Salehi, F., R. Lacroix, et al. (1998). "Improving dairy yield predictions through combined record classifiers and specialized artificial neural networks." Computers and Electronics in Agriculture 20(3): 199-213.
Salehi, F., S. O. Prasher, et al. (2000). "Prediction of annual nitrate-N losses in drain outflows with artificial neural networks." Transactions of the Asae 43(5): 1137-1143.
Salman, S. (2001). Job shop scheduling : a predictive neural network modeling system for a quantified sequencing rule: ix, 94 leaves.
Salvi, M., D. Dazzi, et al. (2002). "Classification and prediction of the progression of thyroid-associated ophthalmopathy by an artificial neural network." Ophthalmology 109(9): 1703-1708.
Salvi, M., D. Dazzi, et al. (2002). "Prediction of the progression of thyroid-associated ophthalmopathy at first ophthalmologic examination: use of a neural network." Thyroid: Official Journal Of The American Thyroid Association 12(3): 233-236.
Salvini, A. and C. Coltelli (2001). "Prediction of dynamic hysteresis under highly distorted exciting fields by neural networks and actual frequency transplantation." Ieee Transactions on Magnetics 37(5): 3315-3319.
Samir Ayed, A. M. R. "Parametric Cost Estimating of Highway Projects Using Neural Networks." MAI, , 37, no. 03, (1997): 0991.
Samlioglu, O. (2002). A neural network approach for helicopter airspeed prediction. Monterey, Calif.
Springfield, Va., Naval Postgraduate School ;
Available from National Technical Information Service: xvii, 117 p.
Samson, F. K. "Physiological Mechanisms of Neuron Azimuth Sensitivity in the Cat's Primary Auditory Cortex (Al) Revealed by Ear Plugging." DAI, , 54, no. 04B, (1992): 1825.
Sanad, A. and M. P. Saka (2001). "Prediction of ultimate smear strength of reinforced-concrete deep beams using neural networks." Journal of Structural Engineering-Asce 127(7): 818-828.
Sanad, A. and M. P. Saka (2002). "Prediction of ultimate shear strength of reinforced-concrete deep beams using neural networks - Discussion." Journal of Structural Engineering-Asce 128(12): 1624-1625.
Sanchez-Mesa, J. A., C. Galan, et al. (2002). "The use of a neural network to forecast daily grass pollen concentration in a Mediterranean region: the southern part of the Iberian Peninsula." Clinical And Experimental Allergy: Journal Of The British Society For Allergy And Clinical Immunology 32(11): 1606-1612.
Sandri, P. "An Artificial Neural Network for Wind-Induced Damage Potential to Nonengineered Buildings." DAI, , 57, no. 11B, (1996): 7110.
Sankar, R. (2000). Neural Netwok predictor of the output of a circulating fluidized bed: 38, [2] leaves.
Sansom, D. (1999). Evaluation of the suitability of neural networks for forecasting electricity pool prices in deregulated electricity supply industries. St. Lucia, Qld. ,: 1 v.
Santanen, O. A. P., N. Svartling, et al. (2003). "Neural nets and prediction of the recovery rate from neuromuscular block." European Journal Of Anaesthesiology 20(2): 87-92.
Santos, V. M. L., F. R. Carvalho, et al. (2000). "Predictive control based on neural networks: An application to a fluid catalytic cracking industrial unit." Brazilian Journal of Chemical Engineering 17(4-7): 897-905.
Santos-Garcia, G., G. Varela, et al. "Prediction of postoperative morbidity after lung resection using an artificial neural network ensemble." Artificial Intelligence in Medicine In Press, Corrected Proof.
Saraf, R. K. "Adaptive Traffic Control Using Neural Networks (Traffic Control)." DAI, , 55, no. 11B, (1994): 4989.
Sarajedini, A. "Probability Density Estimation with Neural Networks and Its Application to Blind Signal Processing." DAI, , 59, no. 09B, (1998): 5009.
Saravanan, N. "An Intelligent Approach to System Identification (Neural Networks)." DAI, , 55, no. 07B, (1994): 2977.
Sarimveis, H. and T. Retsina (2001). "Tissue softness prediction using neural network methodologies - Such tools can improve productivity and minimize out-of-spec production." Pulp & Paper-Canada 102(5): 42-45.
Sarimveis, H. and T. Retsina (2001). "Tissue softness prediction using neural network methodologies - Such tools can improve productivity and minimize out of spec production." Pulp & paper Canada 102(5): 3.
Saripella, V. R. K. R. (2002). A study of the college choice process & models using artificial neural networks and decision trees (C4.5): viii, 44 p.
Sarle, W. S. (1994). Neural Networks and Statistical Models. Proceedings of the Nineteenth Annual SAS Users Group International Conference, Cary, NC.
Sarma, R. K. and Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. (2000). Neural network based prediction and input saliency determination in a blast furnace environment: 140 leaves.
Sasagawa, F. (1993). "Application of a Neural-Network with a Modular Architecture to Protein Secondary Structure Prediction." Fujitsu Scientific & Technical Journal 29(3): 250-256.
Sasagawa, F. and K. Tajima (1993). "Prediction of Protein Secondary Structures by a Neural Network." Computer Applications in the Biosciences 9(2): 147-152.
Sassila, A. E. "Estimation of K(O) in Cohesive Soil from Uncertain Field Data Using the Neural Network Technology (Lateral Stress, Coefficient of Earth Pressure)." DAI, , 58, no. 12B, (1997): 6715.
Sathe, P. M. and J. Venitz (2003). "Comparison of neural network and multiple linear regression as dissolution predictors." Drug Development And Industrial Pharmacy 29(3): 349-355.
Satoh, H., K. Funatsu, et al. (2000). "Classification and prediction of reagents' roles by FRAU system with self-organizing neural network model." Bulletin of the Chemical Society of Japan 73(9): 1955-1965.
Satz, W. A., J. W. Ufberg, et al. (2003). "Can an artificial neural network predict the need for hospital admission using routine triage data?" Academic Emergency Medicine: Official Journal Of The Society For Academic Emergency Medicine 10(5): 538.
Savelberg, H. H. and W. Herzog (1997). "Prediction of dynamic tendon forces from electromyographic signals: an artificial neural network approach." Journal Of Neuroscience Methods 78(1-2): 65-74.
Savelberg, H. H. C. M. and W. Herzog (1997). "Prediction of dynamic tendon forces from electromyographic signals: An artificial neural network approach." Journal of Neuroscience Methods 78(1-2): 65-74.
Saxen, H. (1996). "Nonlinear time series analysis by neural networks: a case study." International Journal Of Neural Systems 7(2): 195-201.
Sayeed, M. S., A. D. Whittaker, et al. (1995). "Snack Quality Evaluation Method Based on Image Features and Neural-Network Prediction." Transactions of the Asae 38(4): 1239-1245.
Sayeed, M. S., A. D. Whittaker, et al. (1995). "Snack Quality Evaluation Method Based on Image Features and Neural Network Prediction." Transactions of the ASAE 38(4): 8.
Scalabrin, G., L. Piazza, et al. (2002). "Application of neural networks to a predictive extended corresponding states model for pure halocarbon thermodynamics." International Journal of Thermophysics 23(1): 57-75.
Scalero, R. S. "A Fast New Algorithm for Training Feed-Forward Neural Networks." DAI, , 51, no. 03B, (1989): 1427.
Scarborough, D. J. "An Evaluation of Backpropagation Neural Network Modeling as an Alternative Methodology for Criterion Validation of Employee Selection Testing." DAI, , 56, no. 08B, (1995): 4624.
Sceniak, M. P. (2000). "Spatial summation and surround suppression in primate V1 neurons: Contrast effects." DAI 61(09B): 4598.
Schaap, M. G., F. J. Leij, et al. (1998). "Neural network analysis for hierarchical prediction of soil hydraulic properties." Soil Science Society of America Journal 62(4): 847-855.
Schaap, M. G. and F. J. Leij (1998). "Using neural networks to predict soil water retention and soil hydraulic conductivity." Soil and Tillage Research 47(1-2): 37-42.
Schaeffer, P. A. (1996). An artificial intelligence approach to the classification of dangerous sex offenders using an artificial neural network: vi, 74 leaves.
Schalkoff, R. J. (1997). "Prediction of estuarine instabilities with artificial neural networks - Discussion." Journal of Computing in Civil Engineering 11(2): 146-147.
Schenker, B. and M. Agarwal (1998). "Predictive control of a bench-scale chemical reactor based on neural-network models." Ieee Transactions on Control Systems Technology 6(3): 388-400.
Schierholt, K. (1996). Time series prediction using adaptive hierarchical neural networks: ix, 54 p.
Schikora, P. F. and M. R. Godfrey (2003). "Efficacy of end-user neural network and data mining software for predicting complex system performance." International Journal of Production Economics 84(3): 231-253.
Schilling, G. D. (1997). Modeling aircraft fuel consumption with a neural network. Blacksburg, Va., University Libraries Virginia Polytechnic Institute and State University.
Schilling, M. T. (1998). "A novel approach to short-term load forecasting using fuzzy neural networks - Discussion." Ieee Transactions on Power Systems 13(2): 490-490.
Schittenkopf, C., G. Deco, et al. (1997). "Two strategied to avoid overfitting in feedforward networks." Neural Networks 10: 505-516.
Schittenkopf, C., G. Dorffner, et al. (2000). "Forecasting time-dependent conditional densities: A semi-non-parametric neural network approach." Journal of Forecasting 19(4): 355-374.
Schlink, U., S. Dorling, et al. (2003). "A rigorous inter-comparison of ground-level ozone predictions." Atmospheric Environment 37(23): 3237-3253.
Schmid, C. H., N. Terrin, et al. (2001). "Predictive performance of missing data methods for logistic regression, classification trees and neural networks." Journal of Statistical Computation and Simulation 71(2): 115-140.
Schmidt, D. (2001). "Online prediction of the free lime content in the sintering zone and the use of neural networks for process optimization." Zkg International 54(9): 471-479.
Schmidtke, J. I. (1999). Personality, affect and EEG : an integration of three models to predict neural patterns of activity: xii, 201 leaves, bound.
Schmidtke, J. I. (1999). "Personality, affect and EEG: An integration of three models to predict neural patterns of activity." DAI 60(09B): 4949.
Schneider, B. (1993). Neuronale Netze für betriebliche Anwendungen: Anwendungspotentiale und existierende Systeme. Arbeitsberichte des Instituts für Wirtschaftsinformatik. Münster: 1-38.
Schneider, G. and P. Wrede (1993). "Prediction of the Secondary Structure of Proteins from the Amino-Acid-Sequence with Artificial Neural Networks." Angewandte Chemie-International Edition in English 32(8): 1141-1143.
Schneider, G., P. Coassolo, et al. (1999). "Combining in vitro and in vivo pharmacokinetic data for prediction of hepatic drug clearance in humans by artificial neural networks and multivariate statistical techniques." Journal Of Medicinal Chemistry 42(25): 5072-5076.
Schooling, J. M., M. Brown, et al. (1999). "An example of the use of neural computing techniques in materials science - the modelling of fatigue thresholds in Ni-base superalloys." Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing 260(1-2): 222-239.
Schöneburg (1990). "Stock price prediction using neural networks: A project report." Neurocomputing 2: 17-27.
Schreck, S. J., W. E. Faller, et al. (1995). "Neural-Network Prediction of 3-Dimensional Unsteady Separated Flowfields." Journal of Aircraft 32(1): 178-185.
Schreck, S. J., W. E. Faller, et al. (1995). "Neural Network Prediction of Three-Dimensional Unsteady Separated Flowfields." Journal of aircraft 32(1): 178.
Schroder, R., H. Kranz, et al. (1996). "Predicting the transition temperature of smectic liquid crystalline compounds from their structure using artificial neural networks." Journal of the Chemical Society-Perkin Transactions 2(8): 1685-1689.
Schuh, H., M. Ulrich, et al. (2002). "Prediction of Earth orientation parameters by artificial neural networks." Journal of Geodesy 76(5): 247-258.
Schulteis, J. (1992). Feature identification of dynamic signals using a hybrid time series and neural network approach: viii, 97 leaves.
Schumann, M. and T. Lohrbach (1994). Kurzfristige Aktienkursprognose - Vergleich Künstlicher Neuronaler Netze und statistischer Verfahren. Finanzmarktanwendungen Neuronaler Netze und ökonomischer Verfahren, Wirtschaftswissenschaftliche Beiträge 93. G. Bol, G. Nakhaeizadeh and K.-H. Vollmer. Heidelberg: 247-270.
Schuurmann, G. and E. Muller (1994). "Backpropagation Neural Networks - Recognition Vs Prediction Capability." Environmental Toxicology and Chemistry 13(5): 743-747.
Schvaneveldt, R. W., W. L. Waag, et al. (1992). Neural network models of air combat maneuvering ; final technical report. Williams Air Force Base, Ariz., Armstrong Laboratory Human Resources Directorate Aircrew Training Research Division.
Schwaerzel, R. (1996). Improving the prediction accuracy of financial time series by using multi-neural network systems and enhanced data preprocessing / y Roy Schwaerzel: xiii, 86 leaves.
Schwartz, C. W. (1997). "Infrastructure condition forecasting using neural networks." NDT & E International 30(5): 334.
Schwartz, G. A. (2001). "Prediction of rheometric properties of compounds by using artificial neural networks." Rubber Chemistry and Technology 74(1): 116-123.
Schweitzer, R. C. and J. B. Morris (1999). "The development of a quantitative structure property relationship (QSPR) for the prediction of dielectric constants using neural networks." Analytica Chimica Acta 384(3): 285-303.
Schweitzer, R. C. and J. B. Morris (1999). "The development of a quantitative structure property relationship (QSPR) for the prediction of dielectric constants using neural networks." Analytica Chimica Acta 384(3): 285-303.
Schwenker, F., C. Dietrich, et al. (2003). "Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series." Neurocomputing 51: 265-275.
Schwerk, T. (1996). "Forecasting of time series with neural networks." Zeitschrift Fur Angewandte Mathematik Und Mechanik 76: 219-222.
Sears, E. S. (2000). "Remote sensing of nutrient deficiency in Lactuca sativa using neural networks for terrestrial and advanced life support applications." DAI 62(05B): 2394.
Sebastia, M., I. Fernandez Olmo, et al. (2003). "Neural network prediction of unconfined compressive strength of coal fly ash-cement mixtures." Cement and concrete research 33(8): 10.
Sebastia, M., I. F. Olmo, et al. (2003). "Neural network prediction of unconfined compressive strength of coal fly ash-cement mixtures." Cement and Concrete Research 33(8): 1137-1146.
Seddon, A. M. (1996). "Predicting our health: ethical implications of neural networks and outcome potential predictions." Ethics & Medicine: a Christian Perspective On Issues In Bioethics 12(3): 53-54.
See, L. and R. J. Abrahart (2001). "Multi-model data fusion for hydrological forecasting." Computers & Geosciences 27(8): 987-994.
Seelam, R. M. (1998). Prediction of heart rate data using recurrent neural networks: viii, 53 leaves.
Seguin, C. A. "Models of Neurons in the Superior Colliculus and Unsupervised Learning of Parameters from Time Series." DAI, , 59, no. 11B, (1998): 5943.
Seguin, C. A. (1998). Models of neurons in the superior colliculus and unsupervised learning of parameters from time series: xiv, 247 leaves, bound.
Seguritan, V. (2002). Bioinformatic tools derived from: the genomic sequencing of marine phages : and predicting phage structural protein function from sequence data using a neural network: viii, 102 leaves.
Seibi, A. and S. M. AlAlawi (1997). "Prediction of fracture toughness using artificial neural networks (ANNs)." Engineering Fracture Mechanics 56(3): 311-319.
Seibi, A. and S. M. Al-Alawi (1997). "Prediction of fracture toughness using artificial neural networks (ANNs)." Engineering Fracture Mechanics 56(3): 311-319.
Seibi, A. C., A. Gastli, et al. (2001). "Prediction of running forces in high curvature well bores using finite element analysis and artificial neural network." Petroleum Science and Technology 19(5-6): 521-534.
Seidl, D. R. "Motion and Motor Control Using Structured Neural Networks (Backlash)." DAI, , 57, no. 04B, (1996): 2771.
Seidl, D. R. (1996). "Motion and motor control using structured neural networks." DAI 57(04B): 2771.
Seiler, T. M. "An Investigation of the Use of Simulated Artificial Neural Networks to Forecast Foreign Currency Exchange (Prediction Modeling, Currency Forecasting)." DAI, , 55, no. 09A, (1994): 2888.
Seiler, T. M. (1994). An investigation of the use of simulated artificial neural networks to forecast foreign currency exchange. S.l., s.n.: xi, 251 leaves.
Selle, S. (1998). Einsatz Künstlicher Neuronaler Netze auf dem Aktienmarkt, Ruprecht-Karls-Universität Heidelberg: 1-125.
Selva-O'Callaghan, A., T. Mijares-Boeckh-Behrens, et al. (2002). "The neural network as a predictor of cancer in patients with inflammatory myopathies." Arthritis And Rheumatism 46(9): 2547-2548.
Sem, S. (2000). Prediction of transitional probabilites of pavement distress levels using artificial neural network: xii, 93leaves.
Sen, S. "Investigation of the Effects of Quantization Errors on the Performance of Neural Networks." DAI, , 57, no. 10B, (1996): 6470.
Sen, S. T. and F. E. Smeins (1996). "Predicting grassland community changes with an artificial neural network model." Ecological Modelling 84(1-3): 91-97.
Senger, D. L. "Retrograde Signaling by Nerve Growth Factor in Cultured Sympathetic Neurons (Phosphorylation, Erk-1, Trka)." DAI, , 59, no. 07B, (1998): 3184.
Sengupta, A. and P. Ranjan (2000). "Forecasting disruptions in the ADITYA tokamak using neural networks." Nuclear Fusion 40(12): 1993-2008.
Sengupta, A. and P. Ranjan (2001). "Prediction of density limit disruption boundaries from diagnostic signals using neural networks." Nuclear Fusion 41(5): 487-501.
Senjyu, T., H. Takara, et al. (2000). Two-hour-ahead load forecasting using neural network. Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on.
Senjyu, T., H. Sakihara, et al. (2000). "Next day peak load forecasting using neural network with adaptive learning algorithm based on similarity." Electric Machines and Power Systems 28(7): 613-624.
Senjyu, T., H. Sakihara, et al. (2001). "Next-day load curve forecasting using neural network based on similarity." Electric Power Components and Systems 29(10): 939-948.
Senjyu, T., H. Takara, et al. (2002). Next day load curve forecasting using hybrid correction method. Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES.
Senjyu, T., H. Takara, et al. (2002). "One-hour-ahead load forecasting using neural network." Power Systems, IEEE Transactions on 17(1): 113-118.
Senjyu, T., H. Takara, et al. (2002). "POWER SYSTEM OPERATIONS COMMITTEE - One-Hour-Ahead Load Forecasting Using Neural Network." IEEE transactions on power systems : a publication of the Power Engineering Society 17(1): 6.
Senjyu, T., Y. Tamaki, et al. (2002). "Next day load curve forecasting using wavelet analysis with neural network." Electric Power Components and Systems 30(11): 1167-1178.
Seo, D.-J. and J. A. Smith (1992). "Radar-based short-term rainfall prediction." Journal of Hydrology 131: 341-367.
Seo, K. K., J. H. Park, et al. (2002). "Prediction of the life cycle cost using statistical and artificial neural network methods in conceptual product design." International Journal of Computer Integrated Manufacturing 15(6): 541-554.
Serele, Z. C. (2002). "Prediction des rendements agricoles du mais et du soya, et du deficit en azote du mais a l'aide d'images aeroportees et d'un reseau de neurones a retropropagation (French text)." DAI 63(11B): 5132.
Serodes, J. B. and M. J. Rodriguez (1996). "Predicting residual chlorine evolution in storage tanks within distribution systems: Application of a neural network approach." Journal of Water Supply Research and Technology-Aqua 45(2): 57-66.
Serra, J. R., P. C. Jurs, et al. (2001). "Linear regression and computational neural network prediction of Tetrahymena acute toxicity for aromatic compounds from molecular structure." Chemical Research in Toxicology 14(11): 1535-1545.
Serra, J. R., P. C. Jurs, et al. (2001). "Linear regression and computational neural network prediction of tetrahymena acute toxicity for aromatic compounds from molecular structure." Chemical Research In Toxicology 14(11): 1535-1545.
Servan-Schreiber, D., C. S. Carter, et al. (1996). "Neural network model successfully predicts amphetamine effects in new task." Biological Psychiatry 39(7): 512.
Servan-Schreiber, D., R. M. Bruno, et al. (1998). "Dopamine and the mechanisms of cognition: Part I. A neural network model predicting dopamine effects on selective attention." Biological Psychiatry 43(10): 713-722.
ServanSchreiber, D., C. S. Carter, et al. (1996). "Neural network model successfully predicts amphetamine effects in new task." Biological Psychiatry 39(7): 47-47.
Sethuraman, S. (1992). Applications of neural networks in signal detection and nonlinear time series prediction: 59 leaves.
Setoodehnia, A. K. (1995). "System modeling via neural network." DAI 57(01B): 591.
Sexton, R. S. "Beyond Backpropagation: A Monte-Carlo Comparison of Global Search Alternatives for Neural Network Optimization of Continuous Forms (Genetic Algorithm, Linear Programming)." DAI, , 57, no. 07A, (1996): 3129.
Sexton, R. S., M. A. Hignite, et al. (2001). "Neural networks refined: Using a genetic algorithm to identify predictors of is student success." Journal of Computer Information Systems 41(3): 42-47.
Sfetsos, A. (2002). "A novel approach for the forecasting of mean hourly wind speed time series." Renewable Energy 27(2): 163-174.
Sforna, M. and F. Proverbio (1995). "A Neural-Network Operator Oriented Short-Term and Online Load Forecasting Environment." Electric Power Systems Research 33(2): 139-149.
Sforna, M. and F. Proverbio (1995). "A neural network operator oriented short-term and online load forecasting environment." Electric Power Systems Research 33(2): 139-149.
Shabani, F. "Application of Fuzzy Logic and Neural Networks to State Estimation and Prediction." DAI, , 57, no. 05B, (1996): 3346.
Shabani, F. (1996). Application of fuzzy logic and neural networks to state estimation and prediction.
Shabani, F. (1996). Application of fuzzy logic and neural networks to state estimation and prediction: xvii, 168 leaves.
Shabani, F. (1996). "Application of fuzzy logic and neural networks to state estimation and prediction." DAI 57(05B): 3346.
Shachmurove, Y. (2002). Applying Artificial Neural Networks to Business, Economics and Finance. Penn CARESS Working Paper: 47.
Shadbolt, J. and J. G. Taylor (2002). Neural networks and the financial markets : predicting, combining, and portfolio optimisation. New York, Springer.
Shadbolt, J. and J. Taylor (2002). Neural networks and the financial markets : predicting, combining and portfolio optimisation. London, Springer.
Shaffer, R. and Naval research lab washington dc chemistry div. (1999). A Feasibility Study on Using Physics-Based Modeler Outputs to Train Probabilistic Neural Networks for UXO Classification. United States, Naval research lab washington dc chemistry div.
Shah, P. M. (1991). Comparative study of prediction gain based on neural network architecture: [v], 47 leaves.
Shah, S. B. (1999). An intelligent neural network forecaster to predict the Standard & Poor 500's index: xiii, 144 leaves.
Shah, S. B. (1999). "An intelligent neural network forecaster to predict the Standard & Poor 500's index." MAI 38(02): 447.
Shahin, M. A., H. R. Maier, et al. (2002). "Predicting settlement of shallow foundations using neural networks." Journal of Geotechnical and Geoenvironmental Engineering 128(9): 785-793.
Shaikh, A., M. Al-Dahhan, et al. (2002). Prediction of overall gas holdup in bubble column reactors via neural network correlation. New York, N.Y., Distributed by American Institute of Chemical Engineers.
Shaikh, A. and M. Al-Dahhan (2003). "Development of an artificial neural network correlation for prediction of overall gas holdup in bubble column reactors." Chemical Engineering and Processing 42(8-9): 599-610.
Shalev, E., Y. Zalel, et al. (1992). "Maternal Serum alpha-Fetoprotein in the First Trimester Cannot Predict Neural Tube Defects." Prenatal diagnosis 12: 309-309.
Shamseldin, A. Y. and K. M. O'Connor (2001). "A non-linear neural network technique for updating of river flow forecasts." Hydrology and Earth System Sciences 5(4): 577-597.
Shamseldin, A. Y., A. E. Nasr, et al. (2002). "Comparison of different forms of the Multi-Layer Feed-Forward Neural Network method used for river flow forecasting." Hydrology and Earth System Sciences 6(4): 671-684.
Shanker, M. S. "Using neural networks to predict the onset of diabetes mellitus." Journal Of Chemical Information And Computer Sciences 36(1): 35-41.
Shanker, M., M. Yhu, et al. (1996). "Effect of Data Standardization on Neural Network Training." OMEGA 24(4): 385-397.
Shanker, M. S. (1996). "Using neural networks to predict the onset of diabetes mellitus." Journal of Chemical Information and Computer Sciences 36(1): 35-41.
Shanmugam, N., S. K. Chattopadhyay, et al. (2001). "Prediction of micro-spun yarn lea CSP using artificial neural networks." Indian Journal of Fibre & Textile Research 26(4): 372-377.
Shao, J. (1998). "Application of an artificial neural network to improve short-term road ice forecasts." Expert Systems with Applications 14(4): 471-482.
Shapiro, M. L. (1994). "From Heisenberg's cat to Eichenbaum's rat: Uncertainty in predicting the neural requirements for animal behavior." The Behavioral and brain sciences 17(3): 493.
Sharma, A. "Design of a Recognition System for Monitoring the Depth of Anesthesia, Based on the Autoregressive Modeling and Neural Network Analysis of the Eeg Signals." DAI, , 55, no. 03B, (1993): 1030.
Sharma, V., S. C. Negi, et al. "Neural networks for predicting nitrate-nitrogen in drainage water." Agricultural Water Management In Press, Corrected Proof.
Sharma, S. C. (1991). A connectionist tool for the estimation of the financial health of a firm: viii, 48 leaves.
Sharma, K. R., American Institute of Chemical Engineers., et al. (1998). Neural Network Model to Predict Pressure Fluctuations in Dense Gas-Solid Fluidized Beds. New York, N.Y., Distributed by American Institute of Chemical Engineers.
Sharma, R., D. Singhal, et al. (1999). "Potential applications of artificial neural networks to thermodynamics: vapor-liquid equilibrium predictions." Computers & Chemical Engineering 23(3): 385-390.
Shaw, B. K. "The Neuronal Basis of a Behavioral Choice in the Medicinal Leech (Hirudo Medicinalis)." DAI, , 57, no. 09B, (1996): 5521.
Shaw, A. M. "A Dynamic Neural Network for Nonlinear Process Modeling and Control." DAI, , 58, no. 03B, (1996): 1412.
Shazly, M. R. E. and H. E. E. Shazly (1999). "Forecasting currency prices using a genetically evolved neural network architecture." International Review of Financial Analysis 8(1): 67-82.
Shekar, S. (2001). Development of a neural networks model to predict the diauxic lag length. Gainesville, Fla., University of Florida.
Shekharan, R. A. "Modeling Pavement Deterioration by Regression and Artificial Neural Networks (Concrete)." DAI, , 57, no. 07B, (1996): 4578.
Shekharan, A. R. (1998). Effect of noisy data on pavement performance prediction by artificial neural networks. Pavement Management and Monitoring of Traffic and Pavements. Washington, NATL ACAD SCI: 7-13.
Shen, Y. "Combining Fuzzy Logic and Neural Networks for Decision Support in an Industrial Environment." MAI, , 36, no. 04, (1996): 1159.
Shene, C., C. Diez, et al. (1999). "Neural networks for the prediction of the state of Zymomonas mobilis CP4 batch fermentations." Computers & Chemical Engineering 23(8): 1097-1108.
Shepherd, A. J., D. Gorse, et al. (1999). "Prediction of the location and type of beta-turns in proteins using neural networks." Protein Science: a Publication Of The Protein Society 8(5): 1045-1055.
Sheppard, D., D. McPhee, et al. (1999). "Predicting cytomegalovirus disease after renal transplantation: an artificial neural network approach." International Journal Of Medical Informatics 54(1): 55-76.
Shetty, G. R. and S. Chellam (2003). "Predicting membrane fouling during municipal drinking water nanofiltration using artificial neural networks." Journal of Membrane Science 217(1-2): 69-86.
Shetty, G. R., H. Malki, et al. (2003). "Predicting contaminant removal during municipal drinking water nanofiltration using artificial neural networks." Journal of Membrane Science 212(1-2): 99-112.
Shi, B. E. "Spatio-Temporal Image Filtering with Cellular Neural Networks (Spatiotemporal Filtering)." DAI, , 55, no. 09B, (1994): 4046.
Shi, S. "Modeling Temporal Structure of Time Series with Hidden Markov Experts (Forecasting, Neural Networks)." DAI, , 59, no. 03A, (1998): 0908.
Shi, X. "Intelligent Control of Autonomous Rock Excavation: Theory and Experimentation (Earthmoving, Resistance, Fuzzy Logic, Neural Networks, Robotic)." DAI, , 58, no. 02B, (1996): 0945.
Shi, S. and B. Liu (1995). The forecasting of urban transportation : a neural network approach.
Shi, S. M., L. D. Xu, et al. (1996). "Applications of artificial neural networks to the nonlinear combination of forecasts." Expert Systems 13(3): 195-201.
Shi, J. S., J. A. R. Ortigao, et al. (1998). "Modular neural networks for predicting settlements during tunneling." Journal of Geotechnical and Geoenvironmental Engineering 124(5): 389-395.
Shi, S. M., L. D. Xu, et al. (1999). "Improving the accuracy of nonlinear combined forecasting using neural networks." Expert Systems with Applications 16(1): 49-54.
Shi, S. M., L. D. Xu, et al. (1999). "Special Issue: Artificial Intelligence Applications in China - Improving the accuracy of nonlinear combined forecasting using neural networks." Expert systems with applications 16(1): 6.
Shi, J. J. S. (2000). "Reducing prediction error by transforming input data for neural networks." Journal of Computing in Civil Engineering 14(2): 109-116.
Shi, X. and X. Du (2002). Research on short term load forecasting in steel enterprise. Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on.
Shigidi, A. M. T. (2000). "Solving the inverse problem in groundwater flow by iterative inversion of a neural network." DAI 61(09B): 4628.
Shih, P.-S. (1996). Prediction of joint dynamics from electromyography signals using artificial neural networks: 147 leaves.
Shim, K.-C. (1999). "Spatial Decision Support System for Integrated River Basin Flood Control (Neural Networks)." DAI 60(08B): 4110.
Shimodaira, H. (1996). "A method for selecting similar learning data in the prediction of time series using neural networks." Expert Systems with Applications 10(3-4): 429-434.
Shin, T. and I. Han (2000). "Optimal signal multi-resolution by genetic algorithms to support artificial neural networks for exchange-rate forecasting." Expert Systems with Applications 18(4): 257-269.
Shin, K.-S. and Y.-J. Lee (2002). "A genetic algorithm application in bankruptcy prediction modeling." Expert Systems with Applications 23(3): 321-328.
Shin, S. C. and Z. Bien (2003). "Adaptive neural network-based predictive control for nonlinear dynamical systems." Intelligent Automation and Soft Computing 9(1): 31-43.
Shippen, M. E. (2001). Development of a neural network model for the prediction of liquid holdup in two-phase horizontal flow: xi, 116 leaves.
Shlens, J. (1999). "Time Series Prediction with Artificial Neural Networks."
Shmueli, D., I. Salomon, et al. (1996). "Neural network analysis of travel behavior: Evaluating tools for prediction." Transportation Research Part C: Emerging Technologies 4(3): 151-166.
Shoskes, D. A., R. Ty, et al. (1998). "Prediction of early graft function in renal transplantation using a computer neural network." Transplantation Proceedings 30(4): 1316-1317.
Shultz, E. K. and K. A. Spackman (1995). "Predicting Length of Stay for Psychiatric Diagnosis-Related Groups Using Neural Networks." Journal of the American Medical Informatics Association 2(3): 202-202.
Shumate, R. A. (1996). Component failure rate prediction using a backpropagation neural network.
Shumate, R. A. (1996). Component failure rate prediction using a backpropagation neural network: v, 98 leaves.
Shun, X., E. Brauner, et al. (1998). A large-scale neural network for airline forecasting in revenue management.
Shyur, H. J., J. T. Luxhoj, et al. (1996). "Using neural networks to predict component inspection requirements for aging aircraft." Computers & Industrial Engineering 30(2): 257-267.
Shyur, H.-J., J. T. Luxhoj, et al. (1996). "Using neural networks to predict component inspection requirements for aging aircraft." Computers & Industrial Engineering 30(2): 257-267.
Shyur, H. J., J. T. Luxhoj, et al. (1997). "Using neural networks to predict component inspection requirements for aging aircraft." NDT & E International 30(5): 328-329.
Siegel, R. M. (1990). Representation of visual space in area 7a neurons : a theoretical approach using the center of mass equation. Yorktown Heights, N.Y., IBM T.J. Watson Research Center.
Sieger, D. B. and A. B. Badiru (1993). "An Artificial Neural-Network Case-Study - Prediction Versus Classification in a Manufacturing Application." Computers & Industrial Engineering 25(1-4): 381-384.
Siegle, G. J. (1999). "Cognitive and Physiological Aspects of Attention to Personally Relevant Negative Information in Depression (Neural Network)." DAI 60(06B): 2962.
Siermala, M., M. Juhola, et al. (2000). On preprocessing of protein sequences for neural network prediction of polyproline type II secondary structure. Tampere, Finland, University of Tampere Dept. of Computer Science.
Siermala, M., M. Juhola, et al. (2000). "Neural network prediction of polyproline type II secondary structures." Studies In Health Technology And Informatics 77: 475-479.
Siermala, M., M. Juhola, et al. (2001). "On preprocessing of protein sequences for neural network prediction of polyproline type II secondary structures." Computers In Biology And Medicine 31(5): 385-398.
Sietsma, J. and R. J. F. Dow (1988). Neural net pruning-why and how. Neural Networks, 1988., IEEE International Conference on.
Sigman, M. E. and S. S. Rives (1994). "Prediction of Atomic Ionization-Potentials I-Iii Using an Artificial Neural-Network." Journal of Chemical Information and Computer Sciences 34(3): 617-620.
Silpngarmlers, N. (2002). "Development of generalized two-phase (oil/gas) and three- phase relative permeability predictors using artificial neural networks." DAI 63(09B): 4348.
Silpngarmlers, N., B. Guler, et al. (2002). "Development and testing of two-phase relative permeability predictors using artificial neural networks." Spe Journal 7(3): 299-308.
Silveira, V. F., S. K. Khator, et al. (1996). "An information management system for forecasting environmental change." Computers & Industrial Engineering 31(1-2): 289-292.
Silver, D. L. and G. A. Hurwitz (1997). "The predictive and explanatory power of inductive decision trees: a comparison with artificial neural network learning as applied to the noninvasive diagnosis of coronary artery disease." Journal Of Investigative Medicine: The Official Publication Of The American Federation For Clinical Research 45(2): 99-108.
Silverman, D. C. (1994). "Artificial Neural-Network Predictions of Degradation of Nonmetallic Lining Materials from Laboratory Tests." Corrosion 50(6): 411-418.
Silverman, D. C. (1994). "Artificial Neural Network Predictions of Degradation of Nonmetallic Lining Materials from Laboratory Tests." Corrosion 50(6): 411.
Silverman, D. I. (1999). Neural network analysis of long range precipitation forecasts: x, 99 leaves.
Silverman, D. I. (1999). "Neural Network Analysis of Long-Range Precipitation Forecasts." DAI 60(08B): 4111.
Silverman, D. and J. A. Dracup (2000). "Artificial neural networks and long-range precipitation prediction in California." Journal of Applied Meteorology 39(1): 57-66.
Silvio, H. L. (1999). Improving peanut maturity prediction using a hybrid artificial neural network and fuzzy inference system: vi, 37 leaves.
Silvio, H. L., R. W. McClendon, et al. (2000). Improving peanut maturity prediction using a hybrid artificial neural network and fuzzy inference system. Intelligent Problem Solving: Methodologies and Approaches, Prodeedings. Berlin, SPRINGER-VERLAG BERLIN. 1821: 543-548.
Simoes, M. G., J. L. M. Tiquilloca, et al. (2002). "Neural-network-based prediction of mooring forces in floating production storage and offloading systems." Ieee Transactions on Industry Applications 38(2): 457-466.
Simon, V., J. Gasteiger, et al. (1993). "A Combined Application of 2 Different Neural-Network Types for the Prediction of Chemical-Reactivity." Journal of the American Chemical Society 115(20): 9148-9159.
Simon, L., M. N. Karim, et al. (1998). "Prediction and classification of different phases in a fermentation using neural networks." Biotechnology Techniques 12(4): 301-304.
Simon, I., P. B. Snow, et al. (2000). "Articles - Neural Network Prediction of Prostate Tissue Composition Based on Magnetic Resonance Imaging Analysis: A Pilot Study." Analytical and quantitative cytology and histology 22(6): 8.
Simon, I., P. B. Snow, et al. (2000). "Neural network prediction of prostate tissue composition based on magnetic resonance imaging analysis. A pilot study." Analytical And Quantitative Cytology And Histology / The International Academy Of Cytology [And] American Society Of Cytology 22(6): 445-452.
Simon, I., P. B. Snow, et al. (2001). "Neural network prediction of prostate tissue composition based on magnetic resonance imaging analysis: A pilot study (vol 22, pg 445, 2000)." Analytical and Quantitative Cytology and Histology 23(2): 150-150.
Simutis, R., I. Havlik, et al. (1993). "Fuzzy-Aided Neural Network for Real-Time State Estimation and Process Prediction in the Alcohol Formation Step of Production-Scale Beer Brewing." Journal of Biotechnology 27(2): 203-215.
Singh, R. "A Novel Design for a Tactile Sensor with Mathematical Modelling and Data Interpretation Using Neural Networks." DAI, , 57, no. 04C, (1996): 1390.
Singh, H., N. V. Sridhar, et al. (1996). "Artificial neural nets for prediction of silicon content of blast furnace hot metal." Steel Research 67(12): 521-527.
Singh, H. and B. Deo (1996). "Prediction of the coke rate in blast furnaces with artificial neural nets." Fuel and Energy Abstracts 37(3): 212.
Singh, S., U. Patil, et al. (1999). "Prediction of outcome in the management of vesicoureteral reflux: Role of neural networks." Pediatrics 104(3): 830-830.
Singh, D. and S. P. Singh (2001). "Self-selecting neural network for short-term load forecasting." Electric Power Components and Systems 29(2): 117-130.
Singh, V. K., D. Singh, et al. (2001). "Prediction of strength properties of some schistose rocks from petrographic properties using artificial neural networks." International Journal of Rock Mechanics and Mining Sciences 38(2): 269-284.
Singhvi, S. S. (1999). "Modeling for Control of a Water Treatment Plant Using Neural Network Approach (Effluent Turbidity, General Regression Neural Network)." DAI 60(06B): 2880.
Singson, R. P. C., R. Alsabeh, et al. (1998). "Prediction of stage in colorectal adenocarcinoma biopsies utilizing probabilistic neural network and logistic regression." Modern Pathology 11(1): 70A-70A.
Sinha, M., C. S. Kennedy, et al. (2001). "ARTICLE TITLES - Artificial Neural Network Predicts CT Scan Abnormalities in Pediatric Patients with Closed Head Injury." The Journal of trauma 50(2): 5.
Sinha, M., C. S. Kennedy, et al. (2001). "Artificial neural network predicts CT scan abnormalities in pediatric patients with closed head injury." The Journal Of Trauma 50(2): 308-312.
Siqueira, I. (2000). "Neural network-based cost estimating." MAI 38(05): 1342.
Sitakalin, C. and J. F. C. Meullenet (2001). "Prediction of cooked rice texture using an extrusion test in combination with partial least squares regression and artificial neural networks." Cereal Chemistry 78(4): 391-394.
Sitte, R. (1999). "Comparison of software-reliability-growth predictions: Neural networks vs parametric-recalibration." Ieee Transactions on Reliability 48(3): 285-291.
Sitte, R. (1999). "SOFTWARE-RELIABILITY -- MODEL EVALUATION - Comparison of software-reliability-growth predictions: Neural networks vs parametric-recalibration." IEEE transactions on reliability 48(3): 7.
Sitte, R. and J. Sitte (2000). "Analysis of the predictive ability of time delay neural networks applied to the S&P 500 time series." Ieee Transactions on Systems Man and Cybernetics Part C-Applications and Reviews 30(4): 568-572.
Sivakumar, B., A. W. Jayawardena, et al. (2002). "River flow forecasting: use of phase-space reconstruction and artificial neural networks approaches." Journal of Hydrology 265(1-4): 225-245.
Sivakumar, B., A. W. Jayawardena, et al. (2002). "River flow forecasting: use of phase-space reconstruction and artificial neural networks approaches." Journal of Hydrology 265(1-4): 225-245.
Skarsfeldt, T. (2000). Measurements of electrical activity of midbrain dopamine neurones : a model to predict antipsychotic activity as well as potential for neurological side effects: 109 p.
Skipworth, P. J., A. J. Saul, et al. (1999). "Predicting water quality in distribution systems using artificial neural networks." Proceedings of the Institution of Civil Engineers-Water Maritime and Energy 136(1): 1-8.
Sklenak, S., V. Kvasnicka, et al. (1993). "Prediction of Regioselectivity of 1,3-Dipolar Cycloaddition Reactions by Neural Networks." Acta Chimica Hungarica-Models in Chemistry 130(1): 103-110.
Sklenak, S., V. Kvasnicka, et al. (1994). "Prediction of C-13 Nmr Chemical-Shifts by Neural Networks in a Series of Monosubstituted Benzenes." Chemical Papers-Chemicke Zvesti 48(3): 135-140.
Skop, M. N. (1996). Predictive gauge control for a single stand reversing mill using a neural network: ix, 87 leaves.
Skrzypek, J. (1989). Neural specification of a general purpose vision system. Los Angeles, Calif., UCLA Computer Science Dept. Machine Perception Laboratory.
Small, M. and C. K. Tse (2002). "Minimum description length neural networks for time series prediction." Physical Review. E, Statistical, Nonlinear, And Soft Matter Physics 66(2): 066701.
Smets, H. M. G. and W. F. L. Bogaerts (1992). "Neural Network Prediction of Stress-Corrosion Cracking." Materials Performance 31(9): 64-67.
Smets, H. M. G. and W. F. L. Bogaerts (1992). "Neural Network Prediction of Stress Corrosion Cracking." Materials performance 31(9): 64.
Smith, C. A. "Improving Combined Cycle Plant Start up Using Adaptive Fuzzy and Artificial Neural Network Supervisory Control." DAI, , 59, no. 03C, (1996): 0795.
Smith, J. (1992). Streamflow forecasting using a backpropagation neural network: vi, 127 leaves.
Smith, P., V. Lakshminarayanan, et al. (1993). "Use of a Neural Network to Predict Postoperative Astigmatism." Investigative Ophthalmology & Visual Science 34(4): 1454-1454.
Smith, B. L. and M. J. Demetsky (1994). Short-term traffic flow prediction : neural network approach.
Smith, A. E. (1994). "X-Bar and R-Control Chart Interpretation Using Neural Computing." International Journal of Production Research 32(2): 309-320.
Smith, B. P. and M. E. Brier (1996). "Statistical approach to neural network model building for gentamicin peak predictions." Journal Of Pharmaceutical Sciences 85(1): 65-69.
Smith, A. E. and A. K. Mason (1997). "Cost Estimation Predictive Modeling: Regression versus Neural Network." The Engineering Economist 42(2): 137-161.
Smith, G. D., N. C. Steele, et al. (1998). Artificial neural nets and genetic algorithms : proceedings of the international conference in Norwich, U.K., 1997. Wien ; New York, Springer.
Smith, B. P., R. A. Ward, et al. (1998). "Prediction of anticoagulation during hemodialysis by population kinetics and an artificial neural network." Artificial Organs 22(9): 731-739.
Smith, T., S. Carr-Lopez, et al. (1999). "Use of an artificial neural network to predict patients at risk for adverse drug reactions." Journal of the American Geriatrics Society 47(9): S55-S55.
Smith, K. A. and J. N. D. Gupta (2000). "Neural networks in business: techniques and applications for the operations researcher." Computers & Operations Research 27(11-12): 1023-1044.
Smith, K. A. and J. N. D. Gupta (2002). Neural networks in business : techniques and applications. Hershey, PA, Idea Group Pub.
Smits, J. R. M., W. J. Melssen, et al. (1994). "Using Molecular Representations in Combination with Neural Networks - a Case-Study - Prediction of the Hplc Retention Index." Computers & Chemistry 18(2): 157-172.
Smolders, J. W. T. and R. Klinke (1986). "Synchronized responses of primary auditory fibre-populations in Caiman crocodilus (L.) to single tones and clicks." Hearing Research 24(2): 89-103.
Smolensky, P., M. C. Mozer, et al. (1996). Mathematical perspectives on neural networks. Mahwah, N.J., L. Erlbaum Associates.
Smyth, C. C. (1996). Predicting stimulus identification from single event evoked cerebral potentials by artificial neural networks : a computer simulation study: vii, 54 leaves.
Snell, S. E. (2000). "Toward an Integrated Assessment of the Impact of Climate Change on United States Corn Production (Artificial Neural Networks)." DAI 60(08A): 3080.
Snow, P. B., D. J. Kerr, et al. (2001). "Neural network and regression predictions of 5-year survival after colon carcinoma treatment." Cancer 91(Supplement): 1673-1678.
Snow, P. B., J. M. Brandt, et al. (2001). "Neural network analysis of the prediction of cancer recurrence following debulking laparotomy and chemotherapy in stages III and IV ovarian cancer." Molecular Urology 5(4): 171-174.
Snowden, S., P. Weech, et al. (1995). "A Neural-Network to Predict Attendance of Pediatric-Patients at Outpatient Clinics." Neural Computing & Applications 3(4): 234-241.
Sohl, J. E. and A. R. Venkatachalam (1995). "A neural network approach to forecasting model selection." Information & Management 29(6): 297-303.
Sohn, S. H., S. C. Oh, et al. (1999). "Prediction of air pollutants by using an artificial neural network." Korean Journal of Chemical Engineering 16(3): 382-387.
Sohn, I. and D. Bae (2000). Fatigue life prediction of spot-welded joint by strain energy density factor using artificial neural network. Fracture and Strength of Solids, Pts 1 and 2. Zurich-Uetikon, TRANS TECH PUBLICATIONS LTD. 183-1: 957-962.
Sohn, S. H., S. C. Oh, et al. (2000). "Prediction of ozone formation based on neural network." Journal of Environmental Engineering-Asce 126(8): 688-696.
Solanki, R. (1995). Development of an acoustic emission based neural network to predict surface finish for a retrofit CNC Lathe. Philadelphia, Pa., s.n.: xiii, 166 leaves.
Soloway, D. I. and Old Dominion University. Dept. of Electrical and Computer Engineering. (1996). Neural generalized predictive control for real-time control: v, 89 leaves.
Soloway, D., P. J. Haley, et al. (1997). Neural Generalized Predictive Control a Newton-Raphson implementation. Hampton, Va.
Springfield, Va., National Aeronautics and Space Administration Langley Research Center ;
National Technical Information Service distributor.
Soloway, D., P. J. Haley, et al. (1997). Neural Generalized Predictive Control a Newton-Raphson implementation. Hampton, Va.
Springfield, Va., National Aeronautics and Space Administration Langley Research Center ;
National Technical Information Service distributor.
Soloway, D. and P. J. Haley (2001). "Aircraft reconfiguration using neural generalized predictive control (I)." Proceedings of the ... American Control Conference 4: 2924-2929.
Soltani, F. (2000). "Geometry-based modeling of the mold filling process using neural networks." DAI 61(08B): 4367.
Soltani, S. (2002). "On the use of the wavelet decomposition for time series prediction." Neurocomputing 48(1-4): 267-277.
Somers, D. C. "Synchronization in Networks of Neural Relaxation Oscillators: Visual Cortical Processing and Intrinsic Oscillator Properties (Oscillators)." DAI, , 53, no. 08B, (1993): 3955.
Somoza, E. and J. R. Somoza (1993). "A Neural-Network Approach to Predicting Admission Decisions in a Psychiatric Emergency Room." Medical Decision Making 13(4): 273-280.
Song, X. H., P. K. Hopke, et al. (1998). "A fuzzy adaptive resonance theory supervised predictive mapping neural network applied to the classification of multivariate chemical data." Chemometrics and Intelligent Laboratory Systems 41(2): 161-170.
Song, X.-H., P. K. Hopke, et al. (1998). "A fuzzy adaptive resonance theory-supervised predictive mapping neural network applied to the classification of multivariate chemical data." Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society 41(2): 10.
Song, X.-H., P. K. Hopke, et al. (1998). "A fuzzy adaptive resonance theory--supervised predictive mapping neural network applied to the classification of multivariate chemical data." Chemometrics and Intelligent Laboratory Systems 41(2): 161-170.
Song, E. J. and M. J. Tahk (1998). "Real-time midcourse guidance with intercept point prediction." Control Engineering Practice 6(8): 957-967.
Song, E.-J. and M.-J. Tahk (1998). "Real-time midcourse guidance with intercept point prediction." Control Engineering Practice 6(8): 957-967.
Song, B. (1999). "Neural network model based control of nonlinear flexible link systems (Predictive control, Robotics)." DAI 60(11B): 5688.
Soni, A. "Design and Development of Hardware and Software Environment for Testing Cmos Vlsi Artificial Neural Network Chips." MAI, , 31, no. 03, (1992): 1338.
Sonke, G. S., T. Heskes, et al. (2000). "Prediction of bladder outlet obstruction in men with lower urinary tract symptoms using artificial neural networks." The Journal Of Urology 163(1): 300-305.
Sorensen, P. H., M. Norgaard, et al. (1999). "Implementation of neural network based non-linear predictive control." Neurocomputing 28: 37-51.
Soto, R. "Three Essays on Empirical Dynamics in Macroeconomics (Money Demand, Chile, Price Signals, Neural Networks)." DAI, , 57, no. 09A, (1996): 4073.
Soto, R. and Programa de Postgrado en Economía. (1997). Nonlinearities in the demand for money : a neural network approach. Santiago, Chile, Programa de Postgrado en Economía ILADES/Georgetown University.
Soufian, M. and M. J. Dempsey (1998). "The Effect of a Dynamical Layer in Neural Network Prediction Of Biomass in a Fermentation Process." Lecture notes in computer science(1415): 749.
Spangler, M. V. "Data Requirements to Train Neural Network Controllers for Use in Process Industries." DAI, , 58, no. 04B, (1997): 2093.
Spellman, G. (1999). "An application of artificial neural networks to the prediction of surface ozone concentrations in the United Kingdom." Applied Geography 19(2): 123-136.
Spicker, J. S., F. Wikman, et al. (2002). "Neural network predicts sequence of TP53 gene based on DNA chip." Bioinformatics 18(8): 2.
Spicker, J. S., F. Wikman, et al. (2002). "Neural network predicts sequence of TP53 gene based on DNA chip." Bioinformatics (Oxford, England) 18(8): 1133-1134.
Spitz, F. and S. Lek (1999). "Environmental impact prediction using neural network modelling. An example in wildlife damage." Journal of Applied Ecology 36(2): 317-326.
Sprovnal, V., K. Vl*cek, et al. (2000). Programmable devices and systems (PDS 2000) : a proceedings volume from the IFAC Workshop, Ostrava, Czech Republic, 8-9 February 2000. Oxford ; New York, Pergamon for the International Federation of Automatic Control.
SPSS Inc. (1996). Neural connection. Chicago, IL, SPSS: 2 computer disks.
SPSS Inc. (1997). Neural connection. Chicago, IL, SPSS: 2 computer disks.
SPSS Inc. and Recognition Systems Inc. (1999). Neural connection. Chicago
s.l., SPSS ;
Recognition Systems: 1 computer optical disc.
Sreekanth, S., H. S. Ramaswamy, et al. (1998). "Prediction of psychrometric parameters using neural networks." Drying Technology 16(3-5): 825-837.
Sridhar, D. "Process Modeling Using Stacked Neural Networks." DAI, , 57, no. 11B, (1996): 7100.
Srikanth, G. G. (1994). A fuzzy logic - neural network algorithm for short term load forecasting: vi, 39 leaves, bound.
Srinivasa, N. "Modeling and Prediction of Thermally Induced Errors in Machine Tools Using a Laser Ball Bar and a Neural Network." DAI, , 56, no. 11B, (1994): 6355.
Srinivasa, N. (1994). Modeling and prediction of thermally induced errors in machine tools using a laser ball bar and a neural network: viii, 157 p.
Srinivasa, N. and J. C. Ziegert (1997). "Prediction of thermally induced time-variant machine tool error maps using a Fuzzy ARTMAP neural network." Journal of Manufacturing Science and Engineering-Transactions of the Asme 119(4A): 623-630.
Srinivasan, V. S., M. Valsan, et al. "Low cycle fatigue and creep-fatigue interaction behavior of 316L(N) stainless steel and life prediction by artificial neural network approach." International Journal of Fatigue In Press, Corrected Proof.
Srinivasan, D., A. C. Liew, et al. (1991). A novel approach to electrical load forecasting based on a neural network. Neural Networks, 1991. 1991 IEEE International Joint Conference on.
Srinivasan, D., A. C. Liew, et al. (1994). "A Neural-Network Short-Term Load Forecaster." Electric Power Systems Research 28(3): 227-234.
Srinivasan, D., A. C. Liew, et al. (1994). "Forecasting Daily Load Curves Using a Hybrid Fuzzy Neural Approach." Iee Proceedings-Generation Transmission and Distribution 141(6): 561-567.
Srinivasan, D., A. C. Liew, et al. (1994). "A neural network short-term load forecaster." Electric Power Systems Research 28(3): 227-234.
Srinivasan, D., C. S. Chang, et al. (1995). "Demand Forecasting Using Fuzzy Neural Computation, with Special Emphasis on Weekend and Public Holiday Forecasting." Ieee Transactions on Power Systems 10(4): 1897-1903.
Srinivasan, D., S. S. Tan, et al. (1998). "Practical implementation of a hybrid fuzzy neural network for one-day-ahead load forecasting." Iee Proceedings-Generation Transmission and Distribution 145(6): 687-692.
Srinivasan, D. (1998). "Evolving artificial neural networks for short term load forecasting." Neurocomputing 23(1-3): 265-276.
Srinivasan, D., S. S. Tan, et al. (1999). "Parallel neural network-fuzzy expert system strategy for short-term load forecasting: System implementation and performance evaluation." Ieee Transactions on Power Systems 14(3): 1100-1105.
Srinivasan, D., S. S. Tan, et al. (1999). "Parallel neural network-fuzzy expert system strategy for short-term load forecasting: System implementation and performance evaluation - Discussion." Ieee Transactions on Power Systems 14(3): 1106-1106.
Srivastava, A. N. "Segmenting Noisy Time Series Using Scale-Sensitive Gated Experts with Applications to Signal Processing (Neural Networks, Data Generating Process)." DAI, , 57, no. 10B, (1996): 6472.
Stader, J. and University of Edinburgh. Artificial Intelligence Applications Institute. (1992). Applying neural networks. Edinburgh, Artificial Intelligence Applications Institute.
Stahl, M., C. Taroni, et al. (2000). "Mapping of protein surface cavities and prediction of enzyme class by a self-organizing neural network." Protein Engineering 13(2): 83-88.
Stamatis, N., D. Parthimos, et al. (1999). "Forecasting chaotic cardiovascular time series with an adaptive slope multilayer perceptron neural network." IEEE Transactions On Bio-Medical Engineering 46(12): 1441-1453.
Stamper, R. (1996). "Improved prediction of I-F2 and I-G indices using neural networks." Iee Proceedings-Microwaves Antennas and Propagation 143(4): 341-346.
Stark, H. L. and University of Alberta. Dept. of Civil and Environmental Engineering. (2002). Application of artificial neural networks to water demand modelling: [14], 128 leaves.
Stark, H. L. (2002). "The application of artificial neural networks to water demand modelling." MAI 41(01): 278.
Starrett, S. K. and G. L. Adams (1997). "Using artificial neural networks and regression to predict percentage of applied nitrogen leached under turfgrass." Communications in Soil Science and Plant Analysis 28(6-8): 497-507.
Stathopoulos, T., A. C. Khanduri, et al. (1996). "Prediction of wind load distribution for air-supported structures using neural networks: Discussion." Canadian Journal of Civil Engineering 23(3): 639-640.
Stawiski, E. W., Y. Mandel-Gutfreund, et al. (2002). "Progress in predicting protein function from structure: unique features of O-glycosidases." Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing: 637-648.
Stebbins, G. T. (2000). Artificial neural networks in predicting multi-family housing code violations: ix, 62 leaves.
Stegemann, J. A. and N. R. Buenfeld (2002). "Prediction of unconfined compressive strength of cement paste with pure metal compound additions." Cement and Concrete Research 32(6): 903-913.
Stegemann, J. A. and N. R. Buenfeld (2002). "Prediction of leachate pH for cement paste containing pure metal compounds." Journal Of Hazardous Materials 90(2): 169-188.
Stegemann, J. A. and N. R. Buenfeld (2003). "Prediction of unconfined compressive strength of cement paste containing industrial wastes." Waste Management (New York, N.Y.) 23(4): 321-332.
Stephan, V. and H. M. Gross (2001). Neural architecture for mental imaging of sequences based on optical flow predictions. Artificial Neural Networks-Icann 2001, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2130: 885-890.
Steppe, J. M. "Feature and Model Selection in Feedforward Neural Networks." DAI, , 55, no. 05B, (1994): 1989.
Stergar, J. and B. Horvat (2002). "Prediction of symbolic prosody breaks with neural nets." Informacije Midem-Journal of Microelectronics Electronic Components and Materials 32(3): 213-218.
Steurer, E. (1996). "Forecasting of 15 time series of DGOR with neural networks." Or Spektrum 18(2): 117-125.
Stevenson, T. (1993). "Application Add-Ins: Mix-and-Match Featureware." PC magazine : the independent guide to IBM-standard personal computing 12(3): 108.
Stewart, K. D. "Adaptive Building Systems Modeling Using Artificial Neural Networks (Hvac)." DAI, , 60, no. 01B, (1998): 0290.
Stewner, R. "Modeling Oil Migration through Unsaturated Soil with Neural Networks." MAI, , 37, no. 01, (1998): 0333.
Steyskal, M. and Colorado State University. Dept. of Mechanical Engineering. (2001). Development of a neural network model for predicting NOx emissions from a large bore natural gas engine: vii, 82 leaves.
Stipanovic, A. J., G. P. Firmstone, et al. (1997). "Having fun with base oils: Predicting properties using neural networks." Abstracts of Papers of the American Chemical Society 213: 156-PETR.
Stittsworth, J. D., Jr. (2000). "Do electrophysiological events such as ischemic depolarization predict neuronal death? A study using rat and gerbil models of ischemia." DAI 61(04B): 1809.
Stocker, K. E. and F. M. Landstorfer (1992). "Empirical Prediction of Radiowave Propagation by Neural Network Simulator." Electronics Letters 28(12): 1177-1178.
Stocker, K. E., B. E. Gschwendtner, et al. (1993). "Neural-Network Approach to Prediction of Terrestrial Wave-Propagation for Mobile Radio." Iee Proceedings-H Microwaves Antennas and Propagation 140(4): 315-320.
Stokelj, T., D. Paravan, et al. (2000). Short and mid term hydro power plant reservoir inflow forecasting. Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on.
Stokelj, T., D. Paravan, et al. (2002). "Enhanced artificial neural network inflow forecasting algorithm for run-of-river hydropower plants." Journal of Water Resources Planning and Management-Asce 128(6): 415-423.
Stokes, C. D. (2000). "Real-time monitoring and control of reactive ion etching using neural networks." DAI 61(07B): 3765.
Stolorz, P., A. Lapedes, et al. (1992). "Predicting Protein Secondary Structure Using Neural Net and Statistical-Methods." Journal of Molecular Biology 225(2): 363-377.
Stone, W. S. "Principal Selection: An Application of Neural-Network Forecasting." DAI, , 54, no. 11A, (1993): 3957.
Stone, W. S. (1993). Principal selection : an application of neural-network forecasting: vii, 114 leaves.
Stone, B. A. (1995). Feature selection and rule extraction for neural networks in the domain of predictive toxicology: vii, 115 leaves.
Stone, J. V., N. M. Hunkin, et al. (2001). "Neural-network models - Predicting spontaneous recovery of memory." Nature 414(6860): 167-168.
Storch, S. and Air force inst of tech wright-pattersonafb oh school of engineering. (1999). Predicting Launch Pad Winds at the Kennedy Space Center With a Neural Network Model. United States, Air force inst of tech wright-pattersonafb oh school of engineering.
Storch, S. J. (1999). Predicting launch pad winds at the Kennedy Space Center with a neural network model: ix, 60 p.
Strecker, S. (1997). Künstliche Neuronale Netze - Aufbau und Funktionsweise. Mainz, LEHRSTUHL FÜR ALLG. BWL UND WIRTSCHAFTSINFORMATIK: 1-36.
Strecker, S. and A. C. Schwickert (1997). Künstliche Neuronale Netze Einordnung, Klassifikation und Abgrenzung aus
betriebswirtschaftlicher Sicht. Mainz, LEHRSTUHL FÜR ALLG. BWL UND WIRTSCHAFTSINFORMATIK: 1-32.
Streilein, W. W. "Neural Networks for Classification and Familiarity Discrimination, with Radar and Sonar Applications." DAI, , 59, no. 08B, (1999): 4258.
Stright, J. R. and Air Force Institute of Technology (U.S.) (1988). A neural network implementation of chaotic time series prediction.
Stright, J. R. and Air Force Institute of Technology (U.S.) (1988). A neural network implementation of chaotic time series prediction. Wright-Patterson AFB, Ohio, Air Force Institute of Technology Air University: 1 v. (various pagings).
Stubbs, D. F. (1989). "A Neurocomputer Using Chemical-Properties to Predict Drug Safety." Abstracts of Papers of the American Chemical Society 197: 30-COMP.
Su, H.-T. T. "Dynamic Modeling and Model Predictive Control Using Generalized Perceptron Networks (Neural Networks)." DAI, , 53, no. 10B, (1992): 5305.
Su, H. T., T. J. McAvoy, et al. (1992). "Long-Term Predictions of Chemical Processes Using Recurrent Neural Networks - a Parallel Training Approach." Industrial & Engineering Chemistry Research 31(5): 1338-1352.
Su, M. C., C. W. Liu, et al. (1999). "Neural-network-based fuzzy model and its application to transient stability prediction in power systems." Ieee Transactions on Systems Man and Cybernetics Part C-Applications and Reviews 29(1): 149-157.
Su, C., J. Hino, et al. (2000). "Prediction of chatter in high-speed milling by means of fuzzy neural networks." International Journal of Systems Science 31(10): 1323-1330.
Su, G. H., K. Fukuda, et al. (2002). "Application of an artificial neural network in reactor thermohydraulic problem: Prediction of critical heat flux." Journal of Nuclear Science and Technology 39(5): 564-571.
Su, G. H., K. Fukuda, et al. (2002). "Applications of artificial neural network for the prediction of flow boiling curves." Journal of Nuclear Science and Technology 39(11): 1190-1198.
Suarez-Romero, J. A., O. Fontenla-Romero, et al. (2003). A new learning method for single layer neural networks based on a regularized cost function. Computational Methods in Neural Modeling, Pt 1. Berlin, SPRINGER-VERLAG BERLIN. 2686: 270-277.
Subba Rao, T., M. B. Priestley, et al. (1997). Applications of time series analysis in astronomy and meteorology. London ; New York, Chapman & Hall.
SubbaNarasimha, P. N., B. Arinze, et al. (2000). "The predictive accuracy of artificial neural networks and multiple regression in the case of skewed data: exploration of some issues." Expert Systems with Applications 19(2): 117-123.
Subramanian, C., M. T. Manry, et al. (1999). "Reservoir Inflow Forecasting Using Neural Networks." Proceedings of the American Power Conference 61(1): 220.
Sudhakar, K. V. and M. E. Haque (2001). "Mechanical behavior of powder metallurgy steel - Experimental investigation and artificial neural network-based prediction model." Journal of Materials Engineering and Performance 10(1): 31-36.
Suewatanakul, W. "A Comparison of Fault Detection and Classification Using Artificial Neural Networks with Traditional Methods." DAI, , 54, no. 04B, (1993): 2099.
Suh, M. (2000). "Kinematic analysis of behavioral and neuronal responses during two-dimensional smooth pursuit in monkey." DAI 61(06B): 3154.
Suk, J. W., J. H. Kim, et al. (2003). "A predictor algorithm for fast geometrically-nonlinear dynamic analysis." Computer Methods in Applied Mechanics and Engineering 192(22-24): 2521-2538.
Sukissian, L., S. Kollias, et al. (1994). "Adaptive Classification of Textured Images Using Linear Prediction and Neural Networks." Signal Processing 36(2): 209-232.
Sum, J. P.-F. "Extended Kalman Filter-Based Pruning Algorithms and Several Aspects of Neural Network Learning (Feedforward Neural Networks, Recurrent Neural Networks)." DAI, , 59, no. 11B, (1998): 5944.
Sumpter, B. G., C. Getino, et al. (1992). "Neural Network Predictions of Energy-Transfer in Macromolecules." Journal of Physical Chemistry 96(6): 2761-2767.
Sumpter, B. G., C. Getino, et al. (1994). "Theory and Applications of Neural Computing in Chemical Science." Annual Review of Physical Chemistry 45: 439-481.
Sumpter, B. G. and D. W. Noid (1994). "Neural Networks and Graph-Theory as Computational Tools for Predicting Polymer Properties." Macromolecular Theory and Simulations 3(2): 363-378.
Sumpter, B. G., D. W. Noid, et al. (1994). "Computational Neural Networks as Tools for Predicting Physical-Properties of Molecular-Systems." Abstracts of Papers of the American Chemical Society 208: 368-PHYS.
Sumpter, B. G. and D. W. Noid (1996). "On the use of computational neural networks for the prediction of polymer properties." Journal of Thermal Analysis 46(3-4): 833-851.
Sumpter *, B. G., C. Getino, et al. (1992). "Neural Network Predictions of Energy Transfer in Macromolecules." The journal of physical chemistry 96(6): 2761-2766.
Sun, L. "Tau Protein Expression and the Development of Stable Microtubules During Neuronal Differentiation of D310 Cells." MAI, , 33, no. 05, (1994): 1450.
Sun, X. "Neural Network Models for the Wire Bonding Process (Microcircuits)." DAI, , 56, no. 08B, (1995): 4564.
Sun, Z. R., X. Q. Rao, et al. (1997). "Prediction of protein supersecondary structures based on the artificial neural network method." Protein Engineering 10(7): 763-769.
Sun, Z., X. Rao, et al. (1997). "Prediction of protein supersecondary structures based on the artificial neural network method." Protein Engineering 10(7): 763-769.
Sun, J. (1998). Lagrangian multiplier in the Pearlmutter algorithm and dynamic neural networks: viii, 93 leaves.
Sun, X. (1999). "The Lasso and its implementation for neural networks." DAI 61(01B): 354.
Sun, Y. M., Z. Y. Qiao, et al. (1999). "Prediction of enthalpies of fusion for divalent rare earth halides based on modeling by artificial neural networks and pattern recognition." Journal of University of Science and Technology Beijing 6(1): 24-26.
Sun, Q. (2001). "Seismic inversion by artificial neural networks." DAI 62(10B): 4434.
Sundaram, K. "Maximum Entropy-Based Optimization of Artificial Neural Networks: An Application to Atm Telecommunication Parameter Predictions." MAI, , 37, no. 04, (1999): 1246.
Sundaram, K. (1999). Maximum entropy-based optimization of artificial neural networks : application to ATM telecommunication parameter predictions: xi, 145 leaves.
Sundaram, A. (1999). "Design of engineering materials using hybrid neural- networks and evolutionary algorithms." DAI 62(06B): 2831.
Sundaram, K. (1999). "Maximum Entropy-Based Optimization of Artificial Neural Networks: An Application to Atm Telecommunication Parameter Predictions." MAI 37(04): 145.
Sung, S. "A New Robust Neural Network Method for Coherent Interference Rejection in Adaptive Array Systems (Pattern Recognition)." DAI, , 51, no. 09B, (1990): 4532.
Supharatid, S. (2003). "Tidal-level forecasting and filtering by neural network model." Coastal Engineering Journal 45(1): 119-137.
Suresh, S., S. N. Omkar, et al. "Lift coefficient prediction at high angle of attack using recurrent neural network." Aerospace Science and Technology In Press, Corrected Proof.
Suryanarayanan, S. "An Intelligent System for Surface Emg-Based Position Tracking of Human Arm Movements for the Control of Manipulators (Elbows, Neural Networks, Fuzzy Logic, Artificial Intelligence, Robotics, Virtual Reality)." DAI, , 57, no. 11B, (1996): 7081.
Suwansawat, S. (2002). Earth pressure balance (EPB) shield tunneling in Bangkok : ground response and prediction of surface settlements using artificial neural networks: 597 leaves.
Suwansawat, S. (2002). "Earth pressure balance (EPB) shield tunneling in Bangkok: Ground response and prediction of surface settlements using artificial neural networks." DAI 63(04B): 1973.
Suzuki, Y. (2000). Soft computing in industrial applications. London ; New York, Springer.
Svensson, P. J. D. (2000). "Artificial neural network modelling in nuclear fusion research and engineering at the JET tokamak." DAI 62(04C): 641.
Sviatopolk-Mirsky, N. I. (2001). Using neural networks to predict three month rainfall at Tarawa atoll with total precipitable water: xi, 79 leaves.
Svoboda, K. R. "Interactions between the Neural Networks That Produce Escape and Swimming in Goldfish (Mauthner Axon)." DAI, , 57, no. 11B, (1996): 6794.
Svozil, D., J. Pospichal, et al. (1995). "Neural-Network Prediction of C-13 Nmr Chemical-Shifts of Alkanes." Journal of Chemical Information and Computer Sciences 35(5): 924-928.
Svozil, D., J. Pospichal, et al. (1995). "Neural Network Prediction of Carbon-13 NMR Chemical Shifts of Alkanes." Journal of chemical information and computer sciences 35(5): 5.
Svozil, D., J. G. Sevcik, et al. (1997). "Neural network prediction of the solvatochromic polarity/polarizability parameter pi(H)(2)." Journal of Chemical Information and Computer Sciences 37(2): 338-342.
Svozil, D., J. G. K. Sevcik, et al. (1997). "Neural Network Prediction of the Solvatochromic Polarity/Polarizability Parameter pH/2." Journal of chemical information and computer sciences 37(2): 5.
Swanson, N. R. and H. White (1995). A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks. University Park, Pa.?, Pennsylvania State University?
Swanson, N. R. and H. White (1995). "A Model Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks." Journal of Business and Economic Statistics 13(3): 265-75.
Swanson, N. R. (1997). "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models." International Journal of Forecasting 13: 439-461.
Swanson, N. R. and H. White (1997). "A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks." Review of Economics and Statistics 79(4): 540-550.
Swicegood, P. G. "Predicting Poor Bank Performance: A Comparison of Neural Networks, Discriminant Analysis, and Professional Human Judgment." DAI, , 59, no. 07A, (1998): 2598.
Swicegood, P. G. (1998). Predicting poor bank performance : a comparison of neural networks, discriminant analysis, and professional human judgment: x, 101 leaves.
Swicegood, P. G. (1998). "Predicting Poor Bank Performance: A Comparison of Neural Networks, Discriminant Analysis, and Professional Human Judgment." DAI 59(07A): 101.
Swiercz, M., Z. Mariak, et al. (2000). "Intracranial pressure processing with artificial neural networks: prediction of ICP trends." Acta Neurochirurgica 142(4): 401-406.
Swisshelm, B. A. (2002). A comparison of the use of artificial neural networks, fractal time series and fractal neural networks in financial forecasts: viii, 100 leaves.
Syu, M.-J. "Neural Network Modelling and Control of Bioprocesses." DAI, , 53, no. 09B, (1992): 4819.
Syu, M. J., G. T. Tsao, et al. (1994). "Neural-Network Modeling for Predicting Brewing Fermentations." Journal of the American Society of Brewing Chemists 52(1): 15-19.
Syu, M. J. and C. L. Hou (1999). "Neural network predictive control by MIMS monitored 2,3-butanediol fermentation by Klebsiella oxytoca." Bioprocess Engineering 21(2): 141-149.
Syu, M. J. and C. L. Hou (1999). "Backpropagation neural network predictive control and control scheme comparison of 2,3-butanediol fermentation by Klebsiella oxytoca." Bioprocess Engineering 20(3): 271-278.
Syu, M.-J. and C.-L. Hou (1999). "Neural network predictive control by MIMS monitored 2,3-butanediol fermentation by Klebsiella oxytoca." Bioprocess engineering 21(2): 10.
Syu, M.-J. and C.-L. Hou (1999). "Backpropagation neural network predictive control and control scheme comparison of 2,3-butanediol fermentation by Klebsiella oxytoca." Bioprocess engineering 20(3): 8.
Szeliga, M. I., P. F. Verdes, et al. (2003). "Artificial neural network learning of nonstationary behavior in time series." International Journal Of Neural Systems 13(2): 103-109.
Szewczyk, Z. P. and A. K. Noor (1996). "A hybrid neurocomputing numerical strategy for nonlinear structural analysis." Computers & Structures 58(4): 661-677.
Szewczyk, Z. P. and A. K. Noor (1996). "A hybrid neurocomputing/numerical strategy for nonlinear structural analysis." Computers & Structures 58(4): 661-677.
Szewczyk, Z. P. and A. K. Noor (1997). "A hybrid numerical/neurocomputing strategy for sensitivity analysis of nonlinear structures." Computers & Structures 65(6): 869-880.
Szkuta, B. R., L. A. Sanabria, et al. (1999). "Electricity price short-term forecasting using artificial neural networks." Ieee Transactions on Power Systems 14(3): 851-857.
Sztobryn, M. (2003). "Forecast of storm surge by means of artificial neural network." Journal of Sea Research 49(4): 317-322.
Tabet, M. F. and W. A. McGahan (2000). "Use of artificial neural networks to predict thickness and optical constants of thin films from reflectance data." Thin Solid Films 370(1-2): 122-127.
Tack, J. N. (2002). Geostatistically based pavement performance prediction using universal kriging and artificial neural networks: xiii, 268 leaves.
Tae, H. H. and E. Steurer (1996). "Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data." Neurocomputing 10(4): 323-339.
Tafeit, E. and G. Reibnegger (1999). "Artificial neural networks in laboratory medicine and medical outcome prediction." Clinical Chemistry And Laboratory Medicine: CCLM / FESCC 37(9): 845-853.
Taggart, B. T. (1999). Incorporating neural network traffic prediction into freeway incident detection. Morgantown, W. Va., West Virginia University Libraries.
Tailor, A., D. Jurkovic, et al. (1999). "Sonographic prediction of malignancy in adnexal masses using an artificial neural network." British Journal Of Obstetrics And Gynaecology 106(1): 21-30.
Tak, B. (1995). A new method for forecasting stock prices using artificial neural network and wavelet theory: xi, 107 p.
Takahashi, K., H. Hayasawa, et al. (1999). "A predictive model for affect of atopic dermatitis in infancy by neural network and multiple logistic regression." Arerugi = [Allergy] 48(11): 1222-1229.
Takalo, J. and J. Timonen (1999). "Neural Network Prediction of the AE Index from the PC Index." Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science 24(1-3): 89-92.
Talati, A. H. (2000). Forecasting foreign exchange rates using neural networks: x, 103 leaves.
Talon, R., D. Walter, et al. (2002). "Prediction of Streptococcus salivarius subsp. thermophilus and Lactobacillus delbrueckii subsp. bulgaricus populations in yoghurt by Curie point pyrolysis-mass spectrometry." Journal Of Microbiological Methods 48(2-3): 271-279.
Tamimi, M. and R. Egbert (2000). "Short term electric load forecasting via fuzzy neural collaboration." Electric Power Systems Research 56(3): 243-248.
Tammana, S. (1995). A neural network model to predict stock returns: vii, 40 leaves, bound.
Tan, H. (1995). Neural network model for stock forecasting: vi, 63 leaves.
Tan, Y. and A. Van Cauwenberghe (1999). "Neural-network-based d-step-ahead predictors for nonlinear systems with time delay." Engineering Applications of Artificial Intelligence 12(1): 21-35.
Tang, Z. and P. A. Fishwick (1993). "Feed-forward Neural Networks as Models for Time Series Forecasting." ORSA Journal on Computing 5(4): 374-386.
Tang, T.-i. and Hong Kong Polytechnic University. Dept. of Computing. (1996). Financial market prediction with intelligent systems : a neural network-expert system hybrid trading system for the Hang Seng Index Futures Market. Hong Kong, Dept. of Computing Hong Kong Polytechnic University: iii, 92 p.
Tangang, F. T. (1998). Forecasting El Niño - Southern Oscillation (ENSO) events a neural network approach. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Tanratanawong, S., University of Newcastle upon Tyne. Dept. of Civil Engineering., et al. (2001). A neural network model to forecast construction output in the United Kingdom. Newcastle upon Tyne, University of Newcastle upon Tyne: 1 v. (various pagings).
Tanyous, E. S. (1996). Recurrent neural networks for time series prediction: vii, 59 leaves.
Tao, D., W. Xiuli, et al. (2002). A combined model of wavelet and neural network for short term load forecasting. Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on.
Tasadduq, I., S. Rehman, et al. (2002). "Application of neural networks for the prediction of hourly mean surface temperatures in Saudi Arabia." Renewable Energy 25(4): 545-554.
Taskinen, J. and J. Yliruusi (2003). "Prediction of physicochemical properties based on neural network modelling." Advanced Drug Delivery Reviews 55(9): 1163-1183.
Tatem, A. J., H. G. Lewis, et al. (2002). "Super-resolution land cover pattern prediction using a Hopfield neural network." Remote Sensing of Environment 79(1): 1-14.
Tawfik, M. (2003). "Linearity versus non-linearity in forecasting Nile River flows." Advances in Engineering Software 34(8): 515-524.
Tay, F. E. H. and L. Cao (2001). "Application of support vector machines in !nancial time series forecasting." Omega 29: 309-317.
Taylor, C. E., D. R. Meldrum, et al. (1994). Freeway traffic data prediction via artificial neural networks for use in a fuzzy logic ramp metering algorithm.
Taylor, C. E. (1994). Freeway traffic data prediction using artificial neural networks and development of a fuzzy logic ramp metering algorithm: v, 92 leaves.
Taylor, C. E., D. R. Meldrum, et al. (1995). Freeway traffic data prediction using neural networks.
Taylor, R. J., A. D. Taylor, et al. (2002). "Using an artificial neural network to predict healing times and risk factors for venous leg ulcers." Journal Of Wound Care 11(3): 101-105.
Tchaban, T., J. P. Griffin, et al. (1998). "A comparison between single and combined backpropagation neural networks in the prediction of turnover." Engineering Applications of Artificial Intelligence 11(1): 41-47.
Tebelskis, J. (1995). Speech recognition using neural networks. Pittsburgh, Pa., School of Computer Science Carnegie Mellon University: x, 180 p.
Tehranian, A. (2003). Effects of artificial neural networks characterization on prediction of diesel engine emissions. Morgantown, W. Va., West Virginia University Libraries.
Teixeira, J. C. and A. J. Rodrigues (1997). "An applied study on recursive estimation methods, neural networks and forecasting." European Journal of Operational Research 101(2): 406-417.
Tenorio, M. F. and W.-T. Lee (1989). Self Organizing Neural Network for optimum supervised learning. West Lafayette, Ind., Purdue University School of Electrical Engineering.
Teo, K. K. (2002). Time series prediction using wavelet and neural networks: 107 p.
Tercelj, M., I. Perus, et al. (2003). "Suitability of CAE neural networks and FEM for prediction of wear on die radii in hot forging." Tribology International 36(8): 573-583.
Terrin, N., C. H. Schmid, et al. (2003). "External validity of predictive models: a comparison of logistic regression, classification trees, and neural networks." Journal Of Clinical Epidemiology 56(8): 721-729.
Terrin, N., C. H. Schmid, et al. (2003). "External validity of predictive models: a comparison of logistic regression, classification trees, and neural networks." Journal of Clinical Epidemiology 56(8): 721-729.
Tetko, I. V. and V. Y. Tanchuk "Application of associative neural networks for prediction of lipophilicity in ALOGPS 2.1 program." Journal Of Chemical Information And Computer Sciences 42(5): 1136-1145.
Tetko, I. V., V. Y. Tanchuk, et al. "Prediction of n-octanol/water partition coefficients from PHYSPROP database using artificial neural networks and E-state indices." Journal Of Chemical Information And Computer Sciences 41(5): 1407-1421.
Tewari, A., M. Issa, et al. (2001). "Genetic adaptive neural network to predict biochemical failure after radical prostatectomy: a multi-institutional study." Molecular Urology 5(4): 163-169.
Thaler, S. L. (1998). "Predicting ultra-hard binary compounds via cascaded auto- and hetero-associative neural networks." Journal of Alloys and Compounds 279(1): 47-59.
Thamotharan, S. (1994). Prediction paradox, neural network : a possible application to the real economic predictions: vi, 29 leaves.
Thamprajamchit, S., B. Ongphiphadhanakul, et al. (2001). "A simple prediction rule and a neural network model to predict pancreatic beta-cell reserve in young adults with diabetes mellitus." Journal Of The Medical Association Of Thailand = Chotmaihet Thangphaet 84(3): 332-338.
Tharpe, C. S. (1993). Fatigue failure prediction using a backpropagation neural network : a thesis. Huntsville, Al., s.n.: xvii, 167 leaves.
Theng, R. (1996). An application of artificial neural networks to target merger prediction and post-merger performance prediction: xiii, 196 leaves.
Thiesing, F. M., U. Middelberg, et al. (1994). Parallel Backpropagation for the Prediction of Time Series. First European PVM Users' Group Meeting, Rome, Italy.
Thiesing, F. M., U. Middelberg, et al. (1995). Parallel Back-Propagation for Sales Prediction on Transputer Systems. Proceedings World Transputer Congress '95, Harrogate, UK.
Thiesing, F. M., U. Middelberg, et al. (1995). A Neural Network Approach for Predicting the Sale of Articles in Supermarkets. 3rd European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany.
Thiesing, F. M., U. Middelberg, et al. (1995). Abverkaufsprognose mit paralleler Backpropagation. Fuzzy-Neuro-Systeme '95. TH Darmstadt: 373-380.
Thiesing, F. M. and O. Vornberger (1997). Sales forecasting using neural networks. Neural Networks,1997., International Conference on.
Thiesing, F. M. and O. Vornberger (1997). Forecasting Sales Using Neural Networks Computational Intelligence. Proceedings International Conference, 5th Fuzzy Days, Dortmund, Germany, Springer LNCS 1226.
Thiesing, F. M. and O. Vornberger (1997). Forecasting sales using neural networks. Computational Intelligence. Berlin 33, SPRINGER-VERLAG BERLIN. 1226: 321-328.
Thiesing, F. M. and O. Vornberger (1998). Abverkaufsprognose im Supermarkt mit Neuronalen Netzen. Betriebswirtschaftliche Anwendungen des Soft Computing. J. Biethahn, A. Hönerloh, J. Kuhlet al, Vieweg: 115-126.
Thind, H. S. (1994). Forecasting nonlinear time series using artificial neural networks : an application to daily municipal water demand forecasting: xxi, 165 leaves.
Thissen, U., R. van Brakel, et al. "Using support vector machines for time series prediction." Chemometrics and Intelligent Laboratory Systems In Press, Corrected Proof.
Thomas, B. (2001). Use of artificial neural networks for predicting skid resistance of hot mix asphalt concrete (HMAC) pavements: xiv, 163 leaves.
Thomas, B. H. (2002). Flow unit prediction with limited permeablility data using artificial neural network analysis. Morgantown, W. Va., West Virginia University Libraries: xxi, 280 p.
Thomas, B. H. (2002). Flow unit prediction with limited permeability data using artificial neural network analysis. Morgantown, W. Va., West Virginia University Libraries.
Thompson, T. B., K. C. Chou, et al. (1995). "Neural network prediction of the HIV-1 protease cleavage sites." Journal Of Theoretical Biology 177(4): 369-379.
Thompson, T. B., K.-C. Chou, et al. (1995). "Neural Network Prediction of the HIV-1 Protease Cleavage Sites." Journal of Theoretical Biology 177(4): 369-379.
Thornassey, S., M. Happiette, et al. (2002). Three complementary sales forecasting models for textile distributors. Systems, Man and Cybernetics, 2002 IEEE International Conference on.
Tian, J., M. Juhola, et al. (1997). "AR parameter estimation by a feedback neural network." Computational Statistics & Data Analysis 25(1): 17-24.
Tikoo, R. (2003). Artificial neural networks for streamflow prediction: x, 151 leaves.
Tinetti, R. C. (2000). Using artificial neural networks to predict student success in the M.E. Rinker, Sr. School of Building Construction: iv, 45 leaves.
Tkacz, G. and Bank of Canada. (1999). Forecasting GDP growth using artificial neural networks. Ottawa, Bank of Canada.
Tkacz, G., S. Hu, et al. (1999). Forecasting GDP growth using artificial neural networks. Ottawa, Bank of Canada.
Tkacz, G. (2001). "Neural network forecasting of Canadian GDP growth." International Journal of Forecasting 17(1): 57-69.
Tmej, C., P. Chiba, et al. (1999). "Artificial neural networks as versatile tools for prediction of MDR-modulatory activity." Advances In Experimental Medicine And Biology 457: 95-105.
Tomida, S., T. Hanai, et al. (2002). "Artificial neural network predictive model for allergic disease using single nucleotide polymorphisms data." Journal of Bioscience and Bioengineering 93(5): 470-478.
Tong, C. M. (1993). Two to seven days ahead electric load forecasting using neural networks: xv, 207 leaves.
Topakoglu, C. M. "A Mathematical Model of Neuronal Environment Utilizing the Random Walk and Williford-Bruley Technique (Supply-Demand, Capillary-Tissue Systems)." DAI, , 45, no. 10B, (1984): 3279.
Topalli, A. K. and I. Erkmen (2003). "A hybrid learning for neural networks applied to short term load forecasting." Neurocomputing 51: 495-500.
Torfs, P. and R. Wojcik (2001). "Local probabilistic neural networks in hydrology." Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere 26(1): 9-14.
Tourenq, C., S. Aulagnier, et al. (1999). "Use of artificial neural networks for predicting rice crop damage by greater flamingos in the Camargue, France." Ecological Modelling 120(2-3): 349-358.
Townsend, N. W. and L. Tarassenko (1999). "Estimations of error bounds for neural-network function approximators." Ieee Transactions on Neural Networks 10(2): 217-230.
Trafalis, T. B. and B. Santosa (2001). Predicting Monthly Flour Prices through Neural Networks, RBFs and SVR. Intelligent Engineering Systems Through Artificial Neural Networks. C. H. Dagli, A. L. Buczak, J. Ghoshet al. 11.
Truccolo, W. A., G. Rangarajan, et al. (2003). "Analyzing stability of equilibrium points in neural networks: a general approach." Neural Networks 16(10): 1453 - 1460.
Tsai, K.-M. and P.-J. Wang (2001). "Predictions on surface finish in electrical discharge machining based upon neural network models." International Journal of Machine Tools and Manufacture 41(10): 1385-1403.
Tsai, C.-P., C. Lin, et al. (2002). "Neural network for wave forecasting among multi-stations." Ocean Engineering 29(13): 1683-1695.
Tsai, P.-F., J.-Z. Chu, et al. (2003). "Developing a robust model predictive control architecture through regional knowledge analysis of artificial neural networks." Journal of Process Control 13(5): 423-435.
Tsaih, R., Y. Hsu, et al. (1998). "Forecasting S&P 500 stock index futures with a hybrid AI system." Decision Support Systems 23: 161–174.
Tsakoumis, A. C., S. S. Vladov, et al. (2002). Electric load forecasting with multilayer perceptron and Elman neural network. Neural Network Applications in Electrical Engineering, 2002. NEUREL '02. 2002 6th Seminar on.
Tsakoumis, A. C., S. S. Vladov, et al. (2002). Daily load forecasting based on previous day load. Neural Network Applications in Electrical Engineering, 2002. NEUREL '02. 2002 6th Seminar on.
Tsao, C.-C. (2002). "Prediction of flank wear of different coated drills for JIS SUS 304 stainless steel using neural network." Journal of Materials Processing Technology 123(3): 354-360.
Tseng, F.-M., H.-C. Yu, et al. (2001). "Combining neural network model with seasonal time series ARIMA model." Technological Forecasting and Social Change 69(1): 71-87.
Tu, J. V., M. C. Weinstein, et al. "Predicting mortality after coronary artery bypass surgery: what do artificial neural networks learn? The Steering Committee of the Cardiac Care Network of Ontario." Medical Decision Making: An International Journal Of The Society For Medical Decision Making 18(2): 229-235.
Tu, J. V. (1993). A comparison of neural network and logistic regression models for predicting length of stay in the intensive care unit following cardiac surgery. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Tu, J. V. (1996). "Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes." Journal Of Clinical Epidemiology 49(11): 1225-1231.
Tu, H. Y., P. L. Wang, et al. (1996). "Prediction of glass forming region in the Sm-Si-Al-O-N system with an artificial neural network." Materials Letters 28(4-6): 281-288.
Tully, S. H. (1998). A neural network approach for predicting the structural behavior of concrete slabs. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Turner, J. V., D. J. Maddalena, et al. (2003). "Multiple pharmacokinetic parameter prediction for a series of cephalosporins." Journal Of Pharmaceutical Sciences 92(3): 552-559.
Turner P., Montague G., et al. (1996). "Dynamic neural networks in non-linear predictive control (an industrial application)." Computers & Chemical Engineering 20(2): S937-S942.
Turton, E. P., D. J. Scott, et al. (2000). "Ruptured abdominal aortic aneurysm: a novel method of outcome prediction using neural network technology." European Journal Of Vascular And Endovascular Surgery: The Official Journal Of The European Society For Vascular Surgery 19(2): 184-189.
Turton, E. P. L., D. J. A. Scott, et al. (2000). "Ruptured Abdominal Aortic Aneurysm: a Novel Method of Outcome Prediction Using Neural Network Technology." European Journal of Vascular and Endovascular Surgery 19(2): 184-189.
Tyler, C. W. and C.-C. Chen (2000). "Signal detection theory in the 2AFC paradigm: attention, channel uncertainty and probability summation." Vision Research 40(22): 3121-3144.
Tyler-Kabara, E. C., A. B. Kassam, et al. (2002). "Predictors of outcome in surgically managed patients with typical and atypical trigeminal neuralgia: comparison of results following microvascular decompression." Journal of Neurosurgery 96(3): 527-531.
Ubeyli, E. D. and I. Guler (2003). "Neural network analysis of internal carotid arterial Doppler signals: predictions of stenosis and occlusion." Expert Systems with Applications 25(1): 1-13.
Ulbricht, C. (1996). Handling Time-Warped Sequences with Neural Networks. From Animals to Animats 4. M. P. Cape Cod, Massachusetts, MIT Press, Cambridge, MA: 180-192.
Ungar, L. H. and E. Rosengarten (1996). Estimating Prediction Intervals for Artificial Neural Networks. Ninth Yale Workshop on Adaptive and Learning Systems.
Ungerbuehler, S. A. (2000). Forecasting molding production using an artificial neural network: iv, 100 leaves.
Urata, S., A. Takada, et al. (2002). "Prediction of vapor-liquid equilibrium for binary systems containing HFEs by using artificial neural network." Fluid Phase Equilibria 199(1-2): 63-78.
Urban, A. (1998). Einsatz Künstlicher Neuronaler Netze bei der operativen Werbemitteleinsatzplanung im Versandhandel im Vergleich zu ökonometrischen Verfahren. Wirtschaftswissenschaftlichen Fakultät, Universität Regensburg: 1-224.
Usher, M. and D. Zakay (1991). A neural network model of multiattribute decision processes. Rehovot, Israel, Weizmann Institute of Science Dept. of Applied Mathematics & Computer Science.
Utans, J. and J. Moody (1991). Selecting neural network architectures via the prediction risk: application to corporate bond rating prediction. First International Conference on Artificial Intelligence on Wall Street, 1991.
Uteshev, V. V. "A Vision of Synaptic Transmission between Central Neurons (Central Nervous System)." DAI, , 59, no. 06B, (1997): 2625.
Vachtsevanos, G. J. and Georgia Institute of Technology. School of Electrical and Computer Engineering. Project no. E-21-X74. (1994). Prediction of gas turbine NOx emissions using polynomial neural networks. Atlanta, School of Electrical and Computer Engineering Georgia Institute of Technology.
Vakarin, E., Y. Duda, et al. (1997). "Integral equation theory for the four bonding sites model of associating fluids .1. Structure factor and compressibility." Molecular Physics 90(4): 611-623.
Valoor, M. T. and K. Chandrashekhara (2000). "A thick composite-beam model for delamination prediction by the use of neural networks." Composites Science and Technology 60(9): 1773-1779.
Van der Veen, A. and Wichita State University. Dept. of Industrial Engineering. (1994). On the use of neural networks and an encoded bill of material to predict assembly time standards in the aircraft industry. Wichita, Kan., The Wichita State University Dept. of Industrial Engineering.
Van Der Voort, M., M. Dougherty, et al. (1996). "Combining kohonen maps with arima time series models to forecast traffic flow." Transportation Research Part C: Emerging Technologies 4(5): 307-318.
Van Eyden, R. J. (1996). The application of neural networks in the forecasting of share prices. Haymarket, VA, Finance & Technology.
Van Ispelen, P., T. Richards, et al. (1997). "Forecasting retail-farm margins for fresh tomatoes: Econometrics versus neural networks." American Journal of Agricultural Economics 79(5): 1729-1730.
Van Niekerk, J. P. d. T. (2002). The application of neural networks to the prediction of share price indices on the JSE.
Van Vreeswijk, C. A. "Temporal Firing Patterns in Populations of Spiking Neurons." DAI, , 56, no. 02B, (1994): 0678.
Van Wie, M. J. (1996). A neural network for prediction of pilot effort using physiological parameters: xiii, 122 leaves.
Vandale, D. (1999). Modeling and real-time predicting of the outputs of a cold circulating fluidized bed using neural networks: 54, [9] leaves.
Vanyrur, R., K. Heberger, et al. (2002). "Prediction of tumoricidal activity and accumulation of photosensitizers in photodynamic therapy using multiple linear regression and artificial neural networks." Photochemistry And Photobiology 75(5): 471-478.
Varkiani, S. "Application Des Reseaux Neuronaux Flous a L'identification Et La Protection D'un Transformateur Triphase." MAI, , 37, no. 03, (1998): 1004.
Vasudevan, M., A. K. Bhaduri, et al. "Delta ferrite prediction in stainless steel welds using neural network analysis and comparison with other prediction methods." Journal of Materials Processing Technology In Press, Corrected Proof.
Vath, A., J. Meixensberger, et al. (2000). "Prognostic significance of advanced neuromonitoring after traumatic brain injury using neural networks." Zentralblatt Fur Neurochirurgie 61(1): 2-6.
Vehtari, A. and J. Lampinen (2002). "Bayesian model assessment and comparison using cross-validation predictive densities." Neural Computation 14(10): 2439-2468.
Veiga, J. F. and University of Connecticut. Center for International Business Education and Research. (1996). The development of a cross-nation index of cultural compatibility using neural network analysis to increase predictive validity. Storrs, Conn., Center for International Business Education and Research (CIBER) School of Business Administration University of Connecticut.
Vellido, A., P. J. G. Lisboa, et al. (1999). "Neural networks in business: a survey of applications (1992-1998)." Expert Systems with Applications 17(1): 51-70.
Velten, K., R. Reinicke, et al. (2000). "Wear volume prediction with artificial neural networks." Tribology International 33(10): 731-736.
Veltri, R. W., M. Chaudhari, et al. (2002). "Comparison of logistic regression and neural net modeling for prediction of prostate cancer pathologic stage." Clinical Chemistry 48(10): 1828-1834.
Vemuri, V. and R. D. Rogers (1994). Artificial neural networks : forecasting time series. Los Alamitos, Calif., IEEE Computer Society Press.
Venema, R. S. (1968). Aspects of an integrated neural prediction system: 309 p.
Venkatesh, V. and H. J. Rack (1999). "A neural network approach to elevated temperature creep-fatigue life prediction." International Journal of Fatigue 21(3): 225-234.
Venugopal, V. and W. Baets (1994). "Neural networks & their applications in marketing management." Journal of Systems Management 45(9): 16-21.
Venugopal, V. and W. Baets (1994). "Neural Networks and Statistical Techniques in Marketing Research: A Conceptual Comparison." Marketing Intelligence & Planning 12(7): 30-38.
Verma, R. S. (2000). Development of an ozone forecasting tool using statistical and neural network models for the areas in South Texas: 102 leaves.
Verma, B. and C. Lane (2000). "Vertical jump height prediction using EMG characteristics and neural networks." Cognitive Systems Research 1(3): 135-141.
Vermeulen, N. P. E. (2003). "Prediction of Drug Metabolism: The Case of Cytochrome P450 2D6." Current Topics In Medicinal Chemistry 3(11): 1227-1239.
Veronica, D. A. (2002). Adaptive, predictive control of a cooling coil by an artificial neural network using emulator differencing: x, 125 leaves.
Vij, L. (1993). Computer aided modeling of proteins and prediction of their 3-D structure using neural networks: vii, 114 leaves.
Vijay, A. M. "Training Fuzzy Neurons with Backpropagation Algorithms." MAI, , 35, no. 06, (1997): 1828.
Vijayan, L. (2002). Applications of wavelet transforms and neural networks to characterize, model, and predict network traffic: xi, 124 leaves.
Vila, J.-P., V. Wagner, et al. (1999). "Neural network architecture selection: new Bayesian perspectives in predictive modelling: Application to a soil hydrology problem." Ecological Modelling 120(2-3): 119-130.
Vila, J.-P. and V. Wagner (2003). "Predictive neuro-control of uncertain systems: design and use of a neuro-optimizer." Automatica 39(5): 767-777.
Vila, J. P. and V. Wagner (2003). "Predictive neuro-control of uncertain systems: design and use of a neuro-optimizer." Automatica 39(5): 767-777.
Virili, F. and B. Freisleben Neural Network Model Selection for Financial Time Series Prediction.
Virili, F. F., B. (2000). Nonstationarity and data preprocessing for neural network predictions of an economic time series. Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on.
Virili, F. (2001). Neural network time series models for financial risk management. Berlin, Wissenschaftlicher Verlag Berlin.
Visconty, M. (1993). Predicting particulate pollution levels using neural networks: v, 89 leaves.
Vishwakarma, K. P. (1994). A neural Network to Predict Multiple Economic Time Series. IEEE World Congress on Computational Intelligence, Orlando, FL, USA.
Vishwakarma, K. P. (1995). "A Neural-Network to Forecast Business-Cycle Indicators." Mathematics and Computers in Simulation 39(3-4): 287-291.
Vishwakarma, K. P. (1995). "A neural network to forecast business cycle indicators." Mathematics and Computers in Simulation 39(3-4): 287-291.
Vlist, M. J. M. v. d., P. C. Vythoulkas, et al. (1992). Korte termijn prognose van de verkeersafwilkkeling : een verkenning van de mogelijkheden. Delft, Instituut voor Ruimtelijke Organisatie TNO.
Voss, R., P. Cullen, et al. (2002). "Prediction of risk of coronary events in middle-aged men in the Prospective Cardiovascular Munster Study (PROCAM) using neural networks." International Journal Of Epidemiology 31(6): 1253-1262; discussion 1262-1264.
Wailzer, B., J. Klocker, et al. (2001). "Prediction of the aroma quality and the threshold values of some pyrazines using artificial neural networks." Journal Of Medicinal Chemistry 44(17): 2805-2813.
Waisarayutt, C. (1997). Neural network to predict the moisture content of cheddar cheese: vii, 47 leaves.
Wajima, T., K. Fukumura, et al. (2002). "Prediction of human clearance from animal data and molecular structural parameters using multivariate regression analysis." Journal Of Pharmaceutical Sciences 91(12): 2489-2499.
Wakuya, H. and J. M. Zurada (2001). "Bi-directional computing architecture for time series prediction." Neural Networks 14(9): 1307-1321.
Walczak, S. and N. Cerpa (1999). "HEURISTIC PRINCIPLES FOR THE DESIGN OF ARTIFICIAL NEURAL NETWORKS." Information and Software Technology 41(2): 109-119.
Walczak, S. and J. E. Scharf (2000). "Reducing surgical patient costs through use of an artificial neural network to predict transfusion requirements." Decision Support Systems 30(2): 125-138.
Walczak, S. and R. J. Scorpio (2000). "Predicting pediatric length of stay and acuity of care in the first ten minutes with artificial neural networks." Pediatr Crit Care Med 1(1): 42-47.
Walker, L. P. (1992). Use of neural networks for predicting grades in calculus: vii, 127 leaves.
Walker, J. L., E. v. K. Hill, et al. (1993). Back propagation neural networks for predicting ultimate strengths of unidirectional graphite/epoxy tensile specimens. Washington, DC
Springfield, Va., National Aeronautics and Space Administration ;
National Technical Information Service distributor.
Waller, B. D. (1998). Location, location, location : a comparison of the predictive validity of a neural network and regression methodology and their performance in the construction of a heterogeneous residential appraisal model: iv, 98 leaves.
Walley, W. J. and V. N. Fontama (1998). "Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great Britain." Water Research 32(3): 613-622.
Walter, M., F. Recknagel, et al. (2001). "Predicting eutrophication effects in the Burrinjuck Reservoir (Australia) by means of the deterministic model SALMO and the recurrent neural network model ANNA." Ecological Modelling 146(1-3): 97-113.
Walters, E. T. "Sensitization and Classical Conditioning in Aplysia: Behavioral and Neuronal Studies." DAI, , 41, no. 05B, (1980): 1672.
Walters, W. P. and M. A. Murcko (2002). "Prediction of 'drug-likeness'." Advanced Drug Delivery Reviews 54(3): 255-271.
Walthall, W. W. "Positional Information, Compartments and Neuronal Specificity in Insect Development." DAI, , 45, no. 12B, (1984): 3745.
Wan, E. A. (1993). Finite impulse response neural networks with applications in time series prediction: xiii, 140 leaves.
Wang, C.-H. "Predicting tourism demand using fuzzy time series and hybrid grey theory." Tourism Management In Press, Corrected Proof.
Wang, X. A. (1992). Artificial neural networks for commercial building energy usage predictor generation: viii, 96 leaves.
Wang, Q. (1996). Hybrid Box-Jenkins and neural network method : an application in forecasting daily water demand: xv, 92 leaves.
Wang, Y. (1997). Ship manoeuvrability prediction using neural networks. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Wang, Y. (1997). Use of neural networks to predict OCR accuracy: viii, 65 leaves, bound.
Wang, L. (1997). Use of neural network methods to predict polymer properties: 72 leaves.
Wang, J. (2000). Family specific neural network predictors and different flavors of disordered regions: viii, 45 leaves, bound.
Wang, C.-M. (2000). "Characterization of novel neuronal antigens in the central nervous system of Manduca sexta." DAI 61(05B): 2349.
Wang, L. (2001). Combination of artificial neural networks for prediction of cotton nitrogen status from leaf reflectance spectra: vii, 60 leaves.
Wang, L. (2001). Prediction of muscle activation from EMG signals using a neural network model: viii, 51 leaves.
Wang, L.-X. and F. Wan (2001). "Structured neural networks for constrained model predictive control." Automatica 37(8): 1235-1243.
Wang, X.-Y. and Z.-O. Wang (2002). Stock market time series data mining based on regularized neural network and rough set. International Conference on Machine Learning and Cybernetics, 2002.
Wang, Y., X. Zhang, et al. (2002). "Prediction of log kw of disubstituted benzene derivatives in reversed-phase high-performance liquid chromatography using multiple linear regression and radial basis function neural network." Analytica Chimica Acta 463(1): 89-97.
Wang, L. and T. S. Buchanan (2002). "Prediction of joint moments using a neural network model of muscle activations from EMG signals." IEEE Transactions On Neural Systems And Rehabilitation Engineering: a Publication Of The IEEE Engineering In Medicine And Biology Society 10(1): 30-37.
Wang, J. A. and N. S. Rao (2002). "A new technique for the prediction of non-linear material behavior." Journal of Nuclear Materials 301(2-3): 193-202.
Wang, D. and B. Larder (2003). "Enhanced prediction of lopinavir resistance from genotype by use of artificial neural networks." The Journal Of Infectious Diseases 188(5): 653-660.
Wang, W., W. Lu, et al. (2003). "Prediction of maximum daily ozone level using combined neural network and statistical characteristics." Environment International 29(5): 555-562.
Warnock, T. W. (1992). A method to predict the orbital lifetimes of free tethers and tether-trailing satellites using artificial neural networks: xiv, 245 leaves.
Washburn, D. L. S. (2001). "Membrane properties of rat subfornical organ neurons." DAI 62(10B): 4306.
Waszczyszyn, Z. and M. Bartczak (2002). "Neural prediction of buckling loads of cylindrical shells with geometrical imperfections." International Journal of Non-Linear Mechanics 37(4-5): 763-775.
Watanabe, S., E. Sagawa, et al. (2003). "Operational models for forecasting Dst." Advances in Space Research 31(4): 829-834.
Watts, W. J. (1998). Comparing the predictability of cash and futures prices : using linear and nonlinear approaches, the arima and neural network models: iii, 151 leaves, bound.
Weber, R. (2003). Neuronale Netze zur Beschreibung und Prognose von Prozessen, Berlin University of Technology: 1-28.
Weber, K. E., W. Schlagner, et al. (2003). "Estimating regional noise on neural network predictions." Pattern Recognition 36(10): 2333-2337.
Webster, L. A. (1997). Using artificial neural networks to forecast water levels : a study of Ponce de Leon Inlet, Florida: viii, 95 leaves.
Wedding, I., Donald K. and K. J. Cios (1996). "Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model." Neurocomputing 10(2): 149-168.
Wegner, J. K. and A. Zell "Prediction of aqueous solubility and partition coefficient optimized by a genetic algorithm based descriptor selection method." Journal Of Chemical Information And Computer Sciences 43(3): 1077-1084.
Wehrens, H. R. M. J. and L. M. C. Buydens (1996). "Mini Symposium 2 - Expert Systems: Retention index prediction by expert systems and neural networks." European Journal of Pharmaceutical Sciences 4(1): S14.
Wei, C.-H. (1996). Critical issues of neural network application to travel time forecasting.
Wei, B., N. Sugiura, et al. (2001). "Use of artificial neural network in the prediction of algal blooms." Water Research 35(8): 2022-2028.
Wei, Y., W. Xu, et al. (2002). "Artificial neural network based predictive method for flood disaster." Computers & Industrial Engineering 42(2-4): 383-390.
Weichert, A. Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik. Oldenburg.
Weigend, A. S., D. E. Rumelhart, et al. (1991). Generalization by Weight-Elimination With Application to Forecast. Advances in Neural Information Processing Systems 3. R. P. Lipmann, J. E. Moody and D. S. Touretzky. San Mateo, CA, Morgan Kaufmann: 875-882.
Weigend, A. S. (1992). Predicting Sunspots and Exchange Rates with connectionist Networks. Nonlinear modeling and forecasting. M. Casdagli and S. Eubank. New York: 395-432.
Weiss, S. M. and C. A. Kulikowski (1991). Computer systems that learn : classification and prediction methods from statistics, neural nets, machine learning, and expert systems. San Mateo, Calif., M. Kaufmann Publishers.
Weissman, J. B. (1989). An adaptive neural-network model for sequence prediction: vii, 90 leaves.
Wendt, S. E. (1994). Predicting core parameters in a pressurized water reactor using an artificial neural network: 82 leaves.
Werbos, P. J. (1994). The roots of backpropagation : from ordered derivatives to neural networks and political forecasting. New York, Wiley.
West, P. M., P. L. Brockett, et al. (1997). "A Comparative Analysis of Neural Networks and Statistical Methods for Predicting Consumer Choice." Marketing Science 16(4).
Westheider, O. (1997). Predicting stock index returns by means of genetically engineered neural networks: x, 99 leaves.
Wheeler, M. C. (1993). A comparative case study of neural network analysis and statistical discriminant function analysis for predicting law students passing the bar examination: xiv, 140 p.
White, H. (1988). Economic prediciton using Neural Networks: The Case of IBM daily stock returns. Proceedings IEEE International Conference on Neural Networks.
Wichmann, N. L. (1997). Variable importance ordering for evapotranspiration using general regression neural networks: 39 leaves.
Wickesberg, R. E. "Wiener Kernel Analysis of the Responses of Neurons in the Anteroventral Cochlear Nucleus of the Cat." DAI, , 43, no. 04B, (1982): 1001.
Widrow, B., D. E. Rumelhart, et al. (1994). Neural networks: applications in industry, business and science. Communications of the ACM Archiv.
Wiesenberg, B. C. (1997). Predicting large solid rocket motor performance using a neural network: [x], 89, [1] leaves.
Wilkinson, C. and D. Yuksel (1997). "Using artificial neural networks to develop prediction models for sensory-instrumental relationships; an overview." Food Quality and Preference 8(5-6): 439-445.
WILKINSON, P., R. L. REUBEN, et al. (1999). "TOOL WEAR PREDICTION FROM ACOUSTIC EMISSION AND SURFACE CHARACTERISTICS VIA AN ARTIFICIAL NEURAL NETWORK." Mechanical Systems and Signal Processing 13(6): 955-966.
Williams, P. M. (1997). Matrix logarithm parametrizations for regularized neural network regression models. Brighton East Sussex, University of Sussex at Brighton.
Williams, D. L. (1999). A neural network approach to the prediction of bankruptcy. San Francisco, Calif., Golden Gate University: xii, 162 leaves.
Williams, M. E. (2000). Using neural networks to position live loads on bridge piers. Florida, State University System of Florida.
Wilson, H. and F. Recknagel (2001). "Towards a generic artificial neural network model for dynamic predictions of algal abundance in freshwater lakes." Ecological Modelling 146(1-3): 69-84.
Wilson, I. D., S. D. Paris, et al. (2002). "Residential property price time series forecasting with neural networks." Knowledge-Based Systems 15(5-6): 335-341.
Windon, D. A. (1996). Design and comparison of neural network and Kalman predictor based sensor validation schemes for implementation on the NASA/AURORA Theseus aircraft: xxvi, 193 leaves.
Winterer, G., B. Kloppel, et al. (1997). "Quantitative EEG (qEEG) predicts relapse in patients with primary alcoholism -- a comparison between multivariate statistics and artificial neural network approaches." Psychiatry Research: Neuroimaging 68(2-3): 183-184.
Winterer, G., M. Ziller, et al. (1998). "Classification of observational data with artificial neural networks versus discriminant analysis in pharmacoepidemiological studies--can outcome of fluoxetine treatment be predicted?" Pharmacopsychiatry 31(6): 225-231.
Winters, P. L. and University of South Florida. Center for Urban Transportation Research. (1998). Neural network application for predicting the impact of trip reduction strategies. Tampa, Fla., University of South Florida Center for Urban Transportation Research.
Winters, P. L. and University of South Florida. Center for Urban Transportation Research. (1998). Neural network application for predicting the impact of trip reduction strategies. Tampa, Fla., University of South Florida Center for Urban Transportation Research.
Wintoft, P. and L. R. Cander (1999). "Short-Term Prediction of foF2 using Time-Delay Neural Network." Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science 24(4): 343-347.
Wintoft, P. and L. R. Cander (2000). "Ionospheric foF2 Storm Forecasting using Neural Networks." Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science 25(4): 267-273.
Wittkemper, H.-G. and M. Steiner (1996). "Using neural networks to forecast the systematic risk of stocks." European Journal of Operational Research 90(3): 577-588.
Wolf, F. E. (1998). Sovereign nations financial distress : an early warning system for predicting Paris-Club debt re-scheduling events from financial ratios, and neural network indexing model: viii, 176 leaves.
Wong, F. S. (1991). "Time series forecasting using backpropagation neural
networks." Neurocomputing 2: 147-159.
Wong, B. K., T. A. Bodnovich, et al. (1997). "Neural network applications in business: A review and analysis of the literature (1988-1995)." Decision Support Systems 19(4): 301-320.
Wong, L. S. and J. D. Young (1999). "A comparison of ICU mortality prediction using the APACHE II scoring system and artificial neural networks." Anaesthesia 54(11): 1048-1054.
Wong, B. K., V. S. Lai, et al. (2000). "A bibliography of neural network business applications research: 1994-1998." Computers & Operations Research 27(11-12): 1045-1076.
Wooten, D. M. (1996). A neural network approach for predicting the U.S. Industrial Production Index: v, 91 leaves.
Worawit, T. and C. Wanchai (2002). Substation short term load forecasting using neural network with genetic algorithm. TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering.
Wray, B. A. (1992). Prediction and control in a just-in-time environment using neural networks: xi, 164 leaves.
Wray, B., A. Palmer, et al. (1994). "Using neural network analysis to evaluate buyer-seller relations." European Journal of Marketing 28(10): 32-48.
Wrazen, M., M. Bromirski, et al. (2001). Technique for TCP over ATM traffic prediction in the presence of traffic policing. Military Communications Conference, 2001. MILCOM 2001. Communications for Network-Centric Operations: Creating the Information Force. IEEE.
Wu, B. (1993). "Model-free forecasting for nonlinear time series (with application to exchange rates)." Computational Statistics & Data Analysis 19: 433-459.
Wu, Y.-J. (1998). Exchange rate forecasting : an application of radial basis function neural networks: 188 leaves.
Wu, C. H. and J. W. McLarty (2000). Neural networks and genome informatics. New York, Elsevier Science B.V.
Xia, X. (1996). Neural network models in predicting insurance insolvency and detecting insurance claim fraud: xvi, 274 leaves.
Xia-Ting, F., W. Yong-Jia, et al. (1996). "A Neural Network Model for Real-time Roof Pressure Prediction in Coal Mines." International Journal of Rock Mechanics and Mining Science & Geomechanics Abstracts 33(6): 647-653.
Xiang, Z. "Neurophysiology of Mossy Fiber Synapses in Rat Hippocampus (Pyramidal Neurons)." DAI, , 56, no. 08B, (1995): 4175.
Xiang, Y. H., M. C. Liu, et al. "Quantitative prediction of liquid chromatography retention of N-benzylideneanilines based on quantum chemical parameters and radial basis function neural network." Journal Of Chemical Information And Computer Sciences 42(3): 592-597.
Xiang, H. (1995). Neural network models for predicting soybean seed protein and oil content: xii, 131 leaves.
Xie, B. J. (1996). A neural network approach in predicting traffic flows.
Xie, J. (2000). A neural network approach to modeling and predicting intercity passenger flows: viii, 147 leaves.
Xing, W.-L. and X.-W. He (1997). "Prediction of the selectivity coefficients of a berberine selective electrode using artificial neural networks." Analytica Chimica Acta 349(1-3): 283-286.
Xiong, W. E. N. "Cyclins in Neuronal Differentiation ( P39, Ubiquitination)." DAI, , 59, no. 11B, (1998): 5674.
Xu, N. (1994). Time series ARMA model identification : using artificial neural networks: vii, 116 leaves.
Xu, L. (1998). "RBF nets, mixture experts, and Bayesian Ying-Yang learning." Neurocomputing 19(1-3): 223-257.
Xu, L. I. (1999). "Encoding of Sound-Source Elevation by the Spike Patterns of Cortical Neurons (Auditory Cortex)." DAI 60(06B): 2553.
Xu, L. and W. J. Chen (2001). Short-term load forecasting techniques using ANN. Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on.
Xu, B. (2002). Frequency analysis and neural network modeling of time series flow in the Apalachicola River: xiv, 134 leaves.
Xu, K., M. Xie, et al. (2003). "Application of neural networks in forecasting engine systems reliability." Applied Soft Computing 2(4): 255-268.
Yabunaka, K.-i., M. Hosomi, et al. (1997). "Novel application of a back-propagation artificial neural network model formulated to predict algal bloom." Water Science and Technology 36(5): 89-97.
Yaffe, D. and Y. Cohen "Neural network based temperature-dependent quantitative structure property relations (QSPRs) for predicting vapor pressure of hydrocarbons." Journal Of Chemical Information And Computer Sciences 41(2): 463-477.
Yama, B. R. (1998). Artificial neural network applications for predictive mining tasks. Lexington, Ky., s.n.: viii, 116 leaves.
Yamamura, S., K. Nishizawa, et al. "Prediction of plasma levels of aminoglycoside antibiotic in patients with severe illness by means of an artificial neural network simulator." Journal Of Pharmacy & Pharmaceutical Sciences [Electronic Resource]: a Publication Of The Canadian Society For Pharmaceutical Sciences, Societe Canadienne Des Sciences Pharmaceutiques 1(3): 95-101.
Yamamura, S. (2003). "Clinical application of artificial neural network (ANN) modeling to predict pharmacokinetic parameters of severely ill patients." Advanced Drug Delivery Reviews 55(9): 1233-1251.
Yamin, H. Y., S. M. Shahidehpour, et al. "Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets." International Journal of Electrical Power & Energy Systems In Press, Corrected Proof.
Yan, J. U. N. "Purification and Identification of Selenoprotein P-Like Protein from Bovine Serum as a Survival-Promoting Factor for Cultured Neurons." DAI, , 57, no. 12B, (1996): 7398.
Yan, A. and J. Gasteiger "Prediction of aqueous solubility of organic compounds based on a 3D structure representation." Journal Of Chemical Information And Computer Sciences 43(2): 429-434.
Yan, A., R. Zhang, et al. (1998). "Large artificial neural networks applied to the prediction of retention indices of acyclic and cyclic alkanes, alkenes, alcohols, esters, ketones and ethers." Computers & Chemistry 22(5): 405-412.
Yan, A., G. Jiao, et al. (2000). "Use of artificial neural networks to predict the gas chromatographic retention index data of alkylbenzenes on carbowax-20M." Computers & Chemistry 24(2): 171-179.
Yan, A., X. Chen, et al. (2000). "Predicting the standard enthalpy (deltaH0f) and entropy (S0) of alkanes by artificial neural networks." SAR And QSAR In Environmental Research 11(3-4): 235-244.
Yang, Z. R., M. B. Platt, et al. (1999). "Probabilistic Neural Networks in Bankruptcy Prediction." Journal of Business Research 44(2): 67-74.
Yang, X.-m. (2000). Applying fuzzy neural network to predict bus line passenger flow.
Yang, Y. and G. Liu (2001). Multivariate time series prediction based on neural networks applied to stock market. IEEE International Conference on Systems, Man, and Cybernetics, 2001, Tuscon, AZ, USA.
Yang, Y., G. Zheng, et al. (2001). BP-GA mixed algorithms for short-term load forecasting. Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on.
Yang, H., Z. Ring, et al. (2002). "Neural network prediction of cetane number and density of diesel fuel from its chemical composition determined by LC and GC-MS." Fuel 81(1): 65-74.
Yang, J., J. J. Lu, et al. (2003). Application of neural network models for forecasting of pavement crack index and pavement condition rating. Tampa, Fla.
Springfield, VA, University of South Florida College of Engineering ;
Also available through the National Technical Information Service.
Yang, I.-H., M.-S. Yeo, et al. (2003). "Application of artificial neural network to predict the optimal start time for heating system in building." Energy Conversion and Management 44(17): 2791-2809.
Yang, A.-S., T.-C. Kuo, et al. (2003). "Application of neural networks to prediction of phase transport characteristics in high-pressure two-phase turbulent bubbly flows." Nuclear Engineering and Design 223(3): 295-313.
Yao, J. and H.-L. Poh (1995). Forecasting The KLSE Index using Neural Networks. IEEE International Conference on Neural Networks, 1995.
Yao, J. T., N. Teng, et al. (1998). "Forecasting and analysis of marketing data using neural networks." Journal of Information Science and Engineering 14(4): 843-862.
Yao, J., Y. Li, et al. (2000). "Option price forecasting using neural networks." Omega 28(4): 455-466.
Yao, S. J., Y. H. Song, et al. (2000). "Wavelet transform and neural networks for short-term electrical load forecasting." Energy Conversion and Management 41(18): 1975-1988.
Yao, J. and C. L. Tan (2000). "A case study on using neural networks to perform technical forecasting of forex." Neurocomputing 34(1-4): 79-98.
Yao, X., X. Zhang, et al. (2001). "Prediction of enthalpy of alkanes by the use of radial basis function neural networks." Computers & Chemistry 25(5): 475-482.
Yao, X., Y. Wang, et al. (2002). "Radial basis function neural network-based QSPR for the prediction of critical temperature." Chemometrics and Intelligent Laboratory Systems 62(2): 217-225.
Yao, X., X. Zhang, et al. (2002). "Prediction of gas chromatographic retention indices by the use of radial basis function neural networks." Talanta 57(2): 297-306.
Yao, X., X. Zhang, et al. (2002). "Radial basis function neural network based QSPR for the prediction of critical pressures of substituted benzenes." Computers & Chemistry 26(2): 159-169.
Yarlagadda, P. K. D. V. and E. Cheng Wei Chiang (1999). "A neural network system for the prediction of process parameters in pressure die casting." Journal of Materials Processing Technology 89-90: 583-590.
Yarlagadda, P. K. D. V. and C. A. Teck Khong (2001). "Development of a hybrid neural network system for prediction of process parameters in injection moulding." Journal of Materials Processing Technology 118(1-3): 109-115.
Yarlagadda, P. K. D. V. (2002). "Development of an integrated neural network system for prediction of process parameters in metal injection moulding." Journal of Materials Processing Technology 130-131: 315-320.
Ye, J. X. (1994). An application of the feedforward neural network model in currency exchange rate forecasting: xii, 84 leaves, bound.
Ye, C. Z., J. Yang, et al. (2002). "Fuzzy rules to predict degree of malignancy in brain glioma." Medical & Biological Engineering & Computing 40(2): 145-152.
Yen, G. G. and W. Feng (2001). "Winner take all experts network for sensor validation." ISA Transactions 40(2): 99-110.
Yeun, Y.-S., K.-H. Lee, et al. (1999). "Function approximations by coupling neural networks and genetic programming trees with oblique decision trees." Artificial Intelligence in Engineering 13(3): 223-239.
Yi, J. and V. R. Prybutok (1996). "A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area." Environmental Pollution 92(3): 349-357.
Yim, J. (2002). A comparison of neural networks with time series models for forecasting returns on a stock market index. Developments in Applied Artificail Intelligence, Proceedings. Berlin, SPRINGER-VERLAG BERLIN. 2358: 25-35.
Yin, C., Z. Luo, et al. (1998). "Predicting coal ash fusion temperature with a back-propagation neural network model." Fuel 77(15): 1777-1782.
Yin, H.-b., J.-m. Xu, et al. (1999). Prediction of road traffic accidents lost using fuzzy neural network system.
Yin, H., S. C. Wong, et al. (2002). "Urban traffic flow prediction using a fuzzy-neural approach." Transportation Research Part C: Emerging Technologies 10(2): 85-98.
Yin, C., L. Rosendahl, et al. (2003). "Methods to improve prediction performance of ANN models." Simulation Modelling Practice and Theory 11(3-4): 211-222.
Yip, D. H. F., E. L. Hines, et al. (1997). Application of artificial neural networks in sales forecasting. Neural Networks,1997., International Conference on.
Yohda, M., M. Saito-Arita, et al. (2002). Demand forecasting by the neural network with discrete Fourier transform. Data Mining, 2002. ICDM 2002. Proceedings. 2002 IEEE International Conference on.
Yokota, Y., J. Usuki, et al. (1999). "Smoothing of EMG and heart rate profile with spline function and forecasting with neural network." Computers & Industrial Engineering 37(1-2): 403-406.
Yokuma, J. T. and J. S. Armstrong (1995). "Beyond accuracy: Comparison of criteria used to select forecasting methods." International Journal of Forecasting 11(4): 591-597.
Yong, Y., W. Sun'an, et al. (2002). Short-term load forecasting using artificial immune network. Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on.
Yoo, H. J. (1995). An evaluation of a self-supervised topographic neural network using correlations.
Yoo, H. J. (1995). An evaluation of a self-supervised topographic neural network using correlations: xii, 172 leaves.
Yoo, Y. S., C. Y. Jo, et al. (2002). "Compositional prediction of creep rupture life of single crystal Ni base superalloy by Bayesian neural network." Materials Science and Engineering A 336(1-2): 22-29.
Young, R. E. and San Jose State University. Chemistry Dept. (1995). Using back propagation neural networks for prediction of individual cell performance in a long string lead-acid peak shaving battery: x, 103 leaves.
Young, R. E., X. Li, et al. (1996). "Prediction of individual cell performance in a long-string lead/acid peak-shaving battery: application of artificial neural networks." Journal of Power Sources 62(1): 121-134.
Yu, D. L. and J. B. Gomm "Implementation of neural network predictive control to a multivariable chemical reactor." Control Engineering Practice In Press, Corrected Proof.
Yu, H.-Y. and S.-Y. Bang (1997). "An Improved Time Series Prediction by Applying the Layer-by-Layer Learning Method to FIR Neural Networks." Neural Networks 10(9): 1717-1729.
Yu, Z. (2000). Feed-forward neural networks and their applications in forecasting: vii, 60 leaves.
Yu, D. L., J. B. Gomm, et al. (2000). "Neural model input selection for a MIMO chemical process." Engineering Applications of Artificial Intelligence 13(1): 15-23.
Yu, K., N. Petrovsky, et al. (2002). "Methods for prediction of peptide binding to MHC molecules: a comparative study." Molecular Medicine (Cambridge, Mass.) 8(3): 137-148.
Yuan, Z., K. Burrage, et al. (2002). "Prediction of protein solvent accessibility using support vector machines." Proteins 48(3): 566-570.
Yue, X. (2000). Using a neural network ensemble and ROC (Relative Operating Characteristic) for prediction of nitrogen deficiency from reflectance spectra: viii, 67 leaves.
Yun, S.-Y., S. Namkoong, et al. (1998). "A Performance evaluation of neural network models in traffic volume forecasting." Mathematical and Computer Modelling 27(9-11): 293-310.
Yun, S.-Y., S. Namkoong, et al. (1998). "A Performance evaluation of neural network models in traffic volume forecasting*1." Mathematical and Computer Modelling 27(9-11): 293-310.
Yuxiang, Z. (1996). "An artificial neural network for forecasting the amount of Chinese colliery roadway surrounding rock deformation." International Journal of Rock Mechanics and Mining Science & Geomechanics Abstracts 33(5): 232A.
Zamarreno, J. M., P. Vega, et al. (2000). "State-space neural network for modelling, prediction and control." Control Engineering Practice 8(9): 1063-1075.
Zealand, C. M. (1998). Short-term streamflow forecasting using artificial neural networks. Ottawa, National Library of Canada = Bibliothèque nationale du Canada.
Zealand, C. M., D. H. Burn, et al. (1999). "Short term streamflow forecasting using artificial neural networks." Journal of Hydrology 214(1-4): 32-48.
Zekic, M. (1998). Neural Network Applications in Stock Market predictions - A Methodology Analysis. Proceedings of the 9 Conference on Information and Intelligent Systems ‘98.
Zeng, G. M., X. S. Qin, et al. (2003). "A neural network predictive control system for paper mill wastewater treatment." Engineering Applications of Artificial Intelligence 16(2): 121-129.
Zernikow, B., K. Holtmannspoetter, et al. (1998). "Artificial neural network for predicting intracranial haemorrhage in preterm neonates." Acta Paediatrica (Oslo, Norway: 1992) 87(9): 969-975.
Zhang, G. P. and M. Qi "Neural network forecasting for seasonal and trend time series." European Journal of Operational Research In Press, Corrected Proof.
Zhang, R., S. Liu, et al. (1997). "Neural network-molecular descriptors approach to the prediction of properties of alkenes." Computers & Chemistry 21(5): 335-341.
Zhang, Q. and S. J. Stanley (1997). "Forecasting raw-water quality parameters for the North Saskatchewan River by neural network modeling." Water Research 31(9): 2340-2350.
Zhang, G., B. Eddy Patuwo, et al. (1998). "Forecasting with artificial neural networks: The state of the art." International Journal of Forecasting 14(1): 35-62.
Zhang, G. (1998). Linear and nonlinear time series forecasting with artificial neural networks.
Zhang, G. (1998). Linear and nonlinear time series forecasting with artificial neural networks: ix, 152 leaves, bound.
Zhang, J., A. J. Morris, et al. (1998). "Prediction of polymer quality in batch polymerisation reactors using robust neural networks." Chemical Engineering Journal 69(2): 135-143.
Zhang, J., A. J. Morris, et al. (1998). "Long-term prediction models based on mixed order locally recurrent neural networks." Computers & Chemical Engineering 22(7-8): 1051-1063.
Zhang, G., M. Y. Hu, et al. (1999). "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis." European Journal of Operational Research 116(1): 16-32.
Zhang, R., A. Yan, et al. (1999). "Application of artificial neural networks for prediction of the retention indices of alkylbenzenes." Chemometrics and Intelligent Laboratory Systems 45(1-2): 113-120.
Zhang, H. M. (2000). Recursive prediction of traffic conditions with neural network models.
Zhang, G. P. (2001). "An investigation of neural networks for linear time-series forecasting." Computers & Operations Research 28(12): 1183-1202.
Zhang, G. P., B. E. Patuwo, et al. (2001). "A simulation study of artificial neural networks for nonlinear time-series forecasting." Computers & Operations Research 28(4): 381-396.
Zhang, Y.-Q. (2001). ForeNet : fourier recurrent neural networks for time series prediction: xi, 124 leaves.
Zhang, T. X., J. Huang, et al. (2001). "Prediction of retention parameters of explosives by artificial neural network." Se Pu = Chinese Journal Of Chromatography / Zhongguo Hua Xue Hui 19(4): 319-322.
Zhang, X., J. Qi, et al. (2001). "Prediction of programmed-temperature retention values of naphthas by wavelet neural networks." Computers & Chemistry 25(2): 125-133.
Zhang, B.-L. and Z.-Y. Dong (2001). "An adaptive neural-wavelet model for short term load forecasting." Electric Power Systems Research 59(2): 121-129.
Zhang, L. and P. B. Luh (2002). An integrated neural network method for market clearing price prediction and confidence interval estimation. Proceedings of the 4th World Congress on Intelligent Control and Automation.
Zhang, L. and P. B. Luh (2002). Power market clearing price prediction and confidence interval estimation with fast neural network learning. IEEE Power Engineering Society Winter Meeting.
Zhang, L. (2002). Neural network based load and price forecasting and confidence internal estimation in deregulated power markets: x, 71 leaves, bound.
Zhang, Q., S. X. Yang, et al. (2002). "AE--Automation and Emerging Technologies: Prediction of Performance Indices and Optimal Parameters of Rough Rice Drying using Neural Networks." Biosystems Engineering 83(3): 281-290.
Zhang, Z., P. Klein, et al. (2002). "Dynamic mechanical properties of PTFE based short carbon fibre reinforced composites: experiment and artificial neural network prediction." Composites Science and Technology 62(7-8): 1001-1009.
Zhang, Z., K. Friedrich, et al. (2002). "Prediction on tribological properties of short fibre composites using artificial neural networks." Wear 252(7-8): 668-675.
Zhang, G. P. (2003). "Time series forecasting using a hybrid ARIMA and neural network model." Neurocomputing 50: 159-175.
Zhang, L., P. B. Luh, et al. (2003). Energy clearing price prediction and confidence interval estimation with cascaded neural networks. IEEE Transactions on Power Systems.
Zhang, G. P. (2003). Neural networks in business forecasting. Hershey, Pa.
London, Idea ;
Eurospan.
Zhang, Z., N.-M. Barkoula, et al. (2003). "Artificial neural network predictions on erosive wear of polymers." Wear 255(1-6): 708-713.
Zhang, G. P., M. Keil, et al. (2003). "Predicting information technology project escalation: A neural network approach." European Journal of Operational Research 146(1): 115-129.
Zhang, L., J. Li, et al. (2003). "Folding rate prediction based on neural network model." Polymer 44(5): 1751-1756.
Zhang, G. P. (2004). Neural networks in business forecasting. IRM Press, Hershey PA.
Zhao, L. "Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption: Parag C. Pendharkar and James A. Rodger, Decision Support Systems (36). Corresponding author:pxp19@psu.edu." International Journal of Forecasting In Press, Corrected Proof.
Zhao, W. (1997). Efficient neural networks for prediction of turbulent flow: xvi, 134 leaves.
Zhao, R. H., B. F. Yue, et al. (1999). "Application of an artificial neural network in chromatography--retention behavior prediction and pattern recognition." Chemometrics and Intelligent Laboratory Systems 45(1-2): 163-170.
Zhao, H., J. Guiver, et al. (2001). "A nonlinear industrial model predictive controller using integrated PLS and neural net state-space model." Control Engineering Practice 9(2): 125-133.
Zhaochun, Z., P. Ruiwu, et al. (1998). "Artificial neural network prediction of the band gap and melting point of binary and ternary compound semiconductors." Materials Science and Engineering B 54(3): 149-152.
Zheng, H. (2003). Financial forecasting using the neural networks: [vii], 82 leaves.
Zheng, G., W. H. Huang, et al. (2003). "Prediction of n-octanol/water partition coefficients for polychlorinated dibenzo- p -dioxins using a general regression neural network." Analytical And Bioanalytical Chemistry 376(5): 680-685.
Zhou, Z., University of New Orleans., et al. (2000). Prediction of wave load and ship motion by using a functional-link neural network predictor: ix, 82 leaves.
Zhou, H., J. Mao, et al. (2002). "Predicting low NOx combustion property of a coal-fired boiler." Huan Jing Ke Xue= Huanjing Kexue / [Bian Ji, Zhongguo Ke Xue Yuan Huan Jing Ke Xue Wei Yuan Hui "Huan Jing Ke Xue" Bian Ji Wei Yuan Hui.] 23(2): 18-22.
Zhou, H. and Y. Zhou (2002). "Folding rate prediction using total contact distance." Biophysical Journal 82(1): 458-463.
Zhu, Q., J. M. Jones, et al. (1999). "The predictions of coal/char combustion rate using an artificial neural network approach." Fuel 78(14): 1755-1762.
Zhuo, J. and University of Nevada Reno. Computer Science Dept. (1995). Stock market valuation the neural network way: vii, 91 leaves.
Ziada, A. M., T. C. Lisle, et al. (2001). "Impact of different variables on the outcome of patients with clinically confined prostate carcinoma: prediction of pathologic stage and biochemical failure using an artificial neural network." Cancer 91(Supplement): 1653-1660.
Zimmerer, T. (1997). Künstliche neuronale Netze versus ökonometrische und zeitreihenanalytische Verfahren zur Prognose ökonomischer Zeitreihen. Frankfurt am Main ; New York, P. Lang.
Zimmermann, H. G. and R. Neuneier (2000). Combining state space reconstruction and forecasting by neural networks.
Zirilli, J. S. (1997). Financial prediction using neural networks. London ; New York, International Thomson Computer Press.
Zmeureanu, R. (2002). "Prediction of the cop of existing rooftop units using artificial neural networks and minimum number of sensors." Energy 27(9): 889-904.
Zollinger, W. K. (2000). Using knowledge-based neural networks in the prediction of permeability: vii, 38 leaves, bound.
Zoni-Berisso, M., D. Molini, et al. (2001). "Noninvasive prediction of sudden death and sustained ventricular tachycardia after acute myocardial infarction using a neural network algorithm." Italian Heart Journal: Official Journal Of The Italian Federation Of Cardiology 2(8): 612-620.
Zuluaga, E., J. D. Velasquez, et al. (2000). Prediction of Permeability Reduction by External Particle Invasion Using Artificial Neural Networks. New York, N.Y., distributed by American Institute of Chemical Engineers.
[Reference to Aussem], A. (1999). "Dynamical recurrent neural networks towards prediction and modeling of dynamical systems." Neurocomputing 28(1-3): 207-232.
[Reference to Lin], C.-S. and C.-K. [Reference to Li] (2000). "A sum-of-product neural network (SOPNN)." Neurocomputing 30(1-4): 273-291.
[Reference to Petrosian], A., D. [Reference to Prokhorov], et al. (2000). "Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG." Neurocomputing 30(1-4): 201-218.
[Reference to Sorensen], P. H., M. [Reference to Norgaard], et al. (1999). "Implementation of neural network based non-linear predictive control." Neurocomputing 28(1-3): 37-51.
[Reference to Ye], H. and W. [Reference to Ni] (1999). "Nonlinear system identification using a Bayesian-Gaussian neural network for predictive control." Neurocomputing 28(1-3): 21-36.

 


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