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An analysis of a catastrophic interferenceSHARKEY, N. E; SHARKEY, A. J. C.Connection science (Print). 1995, Vol 7, Num 3-4, pp 301-329, issn 0954-0091Article

Backpropagating neurons from bichromatic interaction with a three-level systemKAGAN, D; FRIEDMANN, H.Applied optics. 1989, Vol 28, Num 9, pp 1697-1700, issn 0003-6935, 4 p.Article

Influence of the input layer signals of ANNs on wind power estimation for a target site: A case studyVELAZQUEZ, Sergio; CARTA, José A; MATIAS, J. M et al.Renewable & sustainable energy review. 2011, Vol 15, Num 3, pp 1556-1566, issn 1364-0321, 11 p.Article

A robust back propagation learning algorithm for function approximationCHEN, D. S; JAIN, R. C.IEEE transactions on neural networks. 1994, Vol 5, Num 3, pp 467-479, issn 1045-9227Article

Using PHiPAC to speed error back-propagation learningBILMES, J; ASANOVIC, K; CHIN, C.-W et al.International conference on acoustics, speech, and signal processing. 1997, pp 4153-4156, isbn 0-8186-7919-0Conference Paper

Artificial neural networks for solving double dummy bridge problemsMOSSAKOWSKI, Krzysztof; MANDZIUK, Jacek.Lecture notes in computer science. 2004, pp 915-921, issn 0302-9743, isbn 3-540-22123-9, 7 p.Conference Paper

Ensemble methods for multilayer feedforward: An experimental studyHERNANDEZ-ESPINOSA, Carlos; FERNANDEZ-REDONDO, Mercedes; ORTIZ-GOMEZ, Mamen et al.Lecture notes in computer science. 2003, pp 137-144, issn 0302-9743, isbn 3-540-40211-X, 8 p.Conference Paper

Estimating the relationship between isoseismal area and earthquake magnitude by a hybrid fuzzy-neural-network methodCHONGFU HUANG; YEE LEUNG.Fuzzy sets and systems. 1999, Vol 107, Num 2, pp 131-146, issn 0165-0114Article

Back propagation neural networksBUSCEMA, M.Substance use & misuse. 1998, Vol 33, Num 2, pp 233-270, issn 1082-6084Article

Selective presentation learning for neural network forecasting of stock marketsKOHARA, K; FUKUHARA, Y; NAKAMURA, Y et al.Neural computing & applications (Print). 1996, Vol 4, Num 3, pp 143-148, issn 0941-0643Article

A method for self-determination of adaptive learning rates in back propagationWEIR, M. K.Neural networks. 1991, Vol 4, Num 3, pp 371-379, issn 0893-6080Article

Efficient layer-wise learning of feedforward neural networks using the backpropagationRUBANOV, N. S.Eusipco : European signal processing conference. 1998, pp 387-390, isbn 960-7620-05-4, 4VolConference Paper

A method of accelerating neural network learningSOTIROV, Sotir.Neural processing letters. 2005, Vol 22, Num 2, pp 163-169, issn 1370-4621, 7 p.Article

The effects of adding noise during backpropagation training on a generalization performanceAN, G.Neural computation. 1996, Vol 8, Num 3, pp 643-674, issn 0899-7667Article

Prediction of Wastewater Treatment Plants Performance Based on Artifcial Fish School Neural NetworkRUICHENG ZHANG; CHONG LI.Proceedings of SPIE, the International Society for Optical Engineering. 2011, Vol 8205, issn 0277-786X, isbn 978-0-8194-8847-3, 82050T.1-82050T.6Conference Paper

A successive overrelaxation backpropagation algorithm for neural-network trainingDE LEONE, R; CAPPARUCCIA, R; MERELLI, E et al.IEEE transactions on neural networks. 1998, Vol 9, Num 3, pp 381-388, issn 1045-9227Article

Gradient methods for the optimization of dynamics systems containing neural networksNARENDRA, K. S; KANNAN PARTHASARATHY.IEEE transactions on neural networks. 1991, Vol 2, Num 2, pp 252-262, issn 1045-9227, 11 p.Article

Solving the interconnection problem with a linked assembly of neural networksGREEN, A. D. P; NOAKES, P. D.IEE proceedings. Part F. Radar and signal processing. 1991, Vol 138, Num 1, pp 63-72, issn 0956-375X, 10 p.Article

Classification of Venezuelan spirituous beverages by means of discriminant analysis and artificial neural networks based on their Zn, Cu and Fe concentrationsHERNANDEZ-CARABALLO, Edwin A; AVILA-GOMEZ, Rita M; CAPOTE, Tarcisio et al.Talanta (Oxford). 2003, Vol 60, Num 6, pp 1259-1267, issn 0039-9140, 9 p.Article

Uncertainty in Mineral Prospectivity PredictionKRAIPEERAPUN, Pawalai; CHUN CHE FUNG; BROWN, Warick et al.Lecture notes in computer science. 2006, pp 841-849, issn 0302-9743, isbn 3-540-46479-4, 3Vol, 9 p.Conference Paper

Investigation of color constancy with a neural networkSTANIKUNAS, Rytis; VAITKEVICIUS, Henrikas; KULIKOWSKI, Janus J et al.Neural networks. 2004, Vol 17, Num 3, pp 327-337, issn 0893-6080, 11 p.Article

Training neural networks using non-standard norms : Preliminary resultsMORALES, A. K.Lecture notes in computer science. 2000, pp 350-364, issn 0302-9743, isbn 3-540-67354-7Conference Paper

Soft Computing applications : The advent of hybrid systemsBONISSONE, P. P.SPIE proceedings series. 1998, pp 63-78, isbn 0-8194-2910-4Conference Paper

Reference pattern weight initialization for equalizationLEHTOKANGAS, M.Lecture notes in computer science. 1998, pp 574-581, issn 0302-9743, isbn 3-540-64574-8Conference Paper

A New Color Blindness Cure Model Based on BP Neural NetworkYU MA; GU, Xiao-Dong; WANG, Yuan-Yuan et al.Lecture notes in computer science. 2006, pp 747-751, issn 0302-9743, isbn 3-540-34439-X, 5 p.Conference Paper

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