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.
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