webmaster: Sven F. Crone
Centre for Forecasting Lancaster University Management School Lancaster LA1 4YF United Kingdom Tel +44.1524.592991 Fax +44.1524.844885 eMail sven dot crone (at) neuralforecasting dot com  
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@bislab.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 1819,
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 shortterm and online load
forecasting environment." Fuel and Energy Abstracts 36(6): 433.
(1995). "95/06129 Shortterm 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 Shortterm 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), 235244 (September 1994)." Long Range Planning 28(1):
134135.
(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), 68 Jul. 1993. pp. 771774. ButterworthHeinemann 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), 2123 Jun. 1993. pp. 282284. Edited by J.L. Gifford,
D.R. Vzarski and S. McNeil. American Society of Civil Engineers (1993). ISBN
0872629171." 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), 2628
Oct. 1993. Vol. 25, pp. 887900. 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): 3637.
(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): 1112.
(2002). "Power plant condenser performance forecasting using a nonfully
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), 789797." 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), 7985. (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),
889904." Fuel and Energy Abstracts 44(2): 116.
(2003). "Neural network prediction of prostate cancer progression." Academic
Radiology 10(9): 10731074.
(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), 19411949." 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). "OutofStep Prediction Based on
Artificial Neural Networks." Electric Power Systems Research 34(2): 135142.
Abdelaziz, A. Y. (1996). "Outofstep prediction based on artificial neural
networks." Fuel and Energy Abstracts 37(3): 194.
Abdelwahab, H. T. and M. A. AbdelAty (2001). Development of artificial neural
network models to predict driver injury severity in traffic accidents at
signalized intersections.
Abdelwahab, H. T. and M. A. AbdelAty (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: 613.
AbdulWahab, S. A. (2001). "IER photochemical smog evaluation and forecasting of
shortterm ozone pollution levels with artificial neural networks." Process
Safety and Environmental Protection 79(B2): 117128.
AbdulWahab, S. A. and S. M. AlAlawi (2002). "Assessment and prediction of
tropospheric ozone concentration levels using artificial neural networks."
Environmental Modelling & Software 17(3): 219228.
Abdulhai, B., H. Porwal, et al. (1999). Short term freeway traffic flow
prediction using geneticallyoptimized timedelaybased 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. UrquidiMacDonald, et al. (2003). "Neural networks pattern
recognition to predict abciximab pharmacodynamics using readily available
patient characteristics." Clinical Pharmacology & Therapeutics 73(2): P51P51.
AbouElseoud, M. K. "Artificial Neural NetworkBased Physiological Models:
Prediction of Energy Cost in Manual Lifting Activities (Neural Network)." DAI, ,
59, no. 09B, (1998): 5021.
AbouElseoud, M. K. (1998). Artificial neural networkbased physiological models
: prediction of energy cost in manual lifting activities: xx, 331 leaves.
AbouElseoud, M. K. (1998). "Artificial Neural NetworkBased Physiological
Models: Prediction of Energy Cost in Manual Lifting Activities (Neural
Network)." DAI 59(09B): 332.
AboulMagd, 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(1112): 21572172.
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 ComputerAided Engineering 6(1):
2739.
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(78):
721744.
Adams, J. B. (1999). "Predicting pickle harvests using a parametric feedforward
neural network." Journal of Applied Statistics 26(2): 165176.
Adebiyi, O. A. (1999). "Decomposition Strategies for Process Identification and
Control Using Neural Networks." DAI 60(06B): 2808.
Adetona, O. (1994). Multisensor integration using neural networks for
predicting quality characteristics of endmilled 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 nonNewtonian fluid foods through tubes."
Journal of Food Engineering 46(1): 4351.
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): 24512461.
Adya, M. and F. Collopy (1998). "How effective are neural networks at
forecasting and prediction? A review and evaluation." Journal of Forecasting
17(56): 481495.
Affolter, C. and J. T. Clerc (1993). "Prediction of InfraredSpectra from
Chemical Structures of OrganicCompounds Using Neural Networks." Chemometrics
and Intelligent Laboratory Systems 21(23): 151157.
AfkhamiRohani, R. (1998). Dannlfdual 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): 535535.
Agarwal, P. (1998). A neural network model for predicting delay at isolated
signalized intersections: 95 leaves.
AgatonovicKustrin, 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): 10491055.
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): 383407.
Agrawal, J. D. and M. C. Deo (2002). "Online wave prediction." Marine
Structures 15(1): 5774.
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(34): 381381.
Agudo, M. E. "An Approach to onLine 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): 565570.
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): 565570.
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): 40534062.
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): 40534062.
Ahmad, H. A., G. V. Dozier, et al. (2001). "Egg price forecasting using neural
networks." Journal of Applied Poultry Research 10(2): 162171.
Ahmad, S. and M. M. Gromiha (2002). "NETASA: neural network based prediction of
solvent accessibility." Bioinformatics (Oxford, England) 18(6): 819824.
Ahmad, S., M. M. Gromiha, et al. (2003). "Real value prediction of solvent
accessibility from amino acid sequence." Proteins 50(4): 629635.
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): 13131320.
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): 6574.
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 aStructural Materials
Properties Microstructure and Processing 344(12): 318322.
Aiken, M. (1999). "Using a neural network to forecast inflation." Industrial
Management & Data Systems 99(78): 296301.
Aiken, M. and M. Bsat (1999). "Forecasting market trends with neural networks."
Information Systems Management 16(4): 4248.
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: 205217.
AiresdeSousa, J., M. C. Hemmer, et al. (2002). "Prediction of H1 NMR chemical
shifts using neural networks." Analytical Chemistry 74(1): 8090.
AiresdeSousa, J. and J. Gasteiger (2002). "Prediction of enantiomeric
selectivity in chromatography. Application of conformationdependent and
conformationindependent descriptors of molecular chirality." Journal Of
Molecular Graphics & Modelling 20(5): 373388.
AiresdeSousa, J., M. C. Hemmer, et al. (2002). "Prediction of 1H NMR chemical
shifts using neural networks." Analytical Chemistry 74(1): 8090.
Aitkenhead, M. J., A. J. S. McDonald, et al. (2003). "A novel method for
training neural networks for timeseries prediction in environmental systems."
Ecological Modelling 162(12): 8795.
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): 195205.
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 algorithmartificial neural
network model for the prediction of germanium recovery from zinc plant
residues." Transactions of the Institution of Mining and Metallurgy Section
CMineral Processing and Extractive Metallurgy 111: C129C134.
Akritas, P., I. Antoniou, et al. (2000). "Identification and prediction of
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AlAlawi, S. M., G. A. Ali, et al. (1996). A novel approach for traffic accident
analysis and prediction using artificial neural networks.
AlAssaf, Y. and H. El Kadi (2001). "Fatigue life prediction of unidirectional
glass fiber/epoxy composite laminae using neural networks." Composite Structures
53(1): 6571.
AlFattah, S. M. and R. A. Startzman (2003). "Neural network approach predicts
US natural gas production." Spe Production & Facilities 18(2): 8491.
AlHaik, M. S. (2002). "Durability of a polymer matrix composite: Neural
networks approach." DAI 63(02B): 979.
AlHaik, M. S., H. Garmestani, et al. (2003). "TruncatedNewton training
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of concrete filled tubular steel columns using neural networks." Fire Safety
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AlRashid, Y. "Isolated Word Recognition of Demodulated Speech (Neural
Networks)." DAI, , 59, no. 07B, (1998): 3603.
AlRashid, Y. (1995). Shortterm electric load forecasting using neural network
models: xii, 71 leaves.
AlRashidi, 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.
AlRashidi, A. F. (2000). "Designing neural networks for the prediction of the
drilling parameters for Kuwait oil and gas fields." MAI 39(06): 1620.
AlSaba, T. and I. ElAmin (1999). "Artificial neural networks as applied to
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189197.
AlShayji, K. A. and Y. A. Liu (2002). "Predictive modeling of largescale
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process simulation." Industrial & Engineering Chemistry Research 41(25):
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electrical energy." International Journal of Energy Research 23(8): 649661.
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Machine Operational Settings for Injection Molded Parts." DAI, , 59, no. 10B,
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reservoir porosity from seismic acoustic impedance : a case study from Saudi
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networks to predict quaternery phase systems from limited experimental data."
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networks to the detection of Mycobacterium tuberculosis, its antibiotic
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weight (ELBW) neonatal mortality by neural networks and logistic regression."
Pediatric Research 45(4): 236A236A.
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extremely low birth weight neonatal mortality by regression analysis and by
neural networks." Early Human Development 65(2): 123137.
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mining by artificial neural networks." Computers & Geosciences 29(5): 627637.
Amjady, N. (2001). "Shortterm hourly load forecasting using timeseries
modeling with peak load estimation capability." Power Systems, IEEE Transactions
on 16(3): 498505.
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network: 282 leaves.
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no. 05B, (1998): 2313.
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networks to the prediction of minor axis steel connections." Computers &
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with Neural Networks and Adaptive Bifurcation Detection (Time Series)." DAI
59(05B): 180.
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