kw.\*:("Algorithme rétropropagation")
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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
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
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
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
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
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
An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural NetworksSONGSONG LI; OKADA, Toshimi; XIAOMING CHEN et al.Lecture notes in computer science. 2006, pp 551-557, issn 0302-9743, isbn 3-540-34439-X, 7 p.Conference Paper
Effectiveness of different target coding schemes on networks in financial engineeringLEE, Kidong; PARK, Junghee; LEE, Sangjae et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-25912-0, 3Vol, Part2, 873-878Conference Paper
Elman's recurrent neural networks using resilient back propagation for harmonic detectionTEMUNAS, Fevzullah; YUMUSAK, Nejat; GUNTURKUN, Rustu et al.Lecture notes in computer science. 2004, pp 422-428, issn 0302-9743, isbn 3-540-22817-9, 7 p.Conference Paper
Estimating the relative tray efficiency of sieve distillation trays by applying artificial neural networksYOU, X. Y; YANG, Z. S.Chemical and biochemical engineering quarterly. 2003, Vol 17, Num 2, pp 153-158, issn 0352-9568, 6 p.Article
Automatic input-output configuration and generation of ANN-based process models and their application in machiningVIHAROS, Z. J; MONOSTORI, L.Lecture notes in computer science. 1999, pp 659-668, issn 0302-9743, isbn 3-540-66076-3Conference Paper
Appendix 3 : Convergence aspects of re-entry techniqueSCHIAVI, G.Substance use & misuse. 1998, Vol 33, Num 2, pp 523-527, issn 1082-6084Article
Assessing error bars in distribution load curve estimationFIDALGO, J. N; MATOS, M. A; PONCE DE LEAO, M. T et al.Lecture notes in computer science. 1997, pp 1017-1022, issn 0302-9743, isbn 3-540-63631-5Conference Paper
Hybrid modeling, HMM/NN architectures, and protein applicationsBALDI, P; CHAUVIN, Y.Neural computation. 1996, Vol 8, Num 7, pp 1541-1565, issn 0899-7667Article
Autonomous design of artificial neural networks by neurexMICHAUD, F; GONZALEZ RUBIO, R.Neural computation. 1996, Vol 8, Num 8, pp 1767-1786, issn 0899-7667Article
Zernike moment invariance in character recognition using artificial neural networks (ANN)SANOSSIAN, H. Y. Y; EVANS, D. J.International journal of computer mathematics. 1996, Vol 60, Num 1-2, pp 33-48, issn 0020-7160Article
An adaptive momentum back propagation (AMBP)DRAGO, G. P; MORANDO, M; RIDELLA, S et al.Neural computing & applications (Print). 1995, Vol 3, Num 4, pp 213-221, issn 0941-0643Article
Analysis of the back-propagation algorithm with momentumPHANSALKAR, V. V; SASTRY, P. S.IEEE transactions on neural networks. 1994, Vol 5, Num 3, pp 505-506, issn 1045-9227Article