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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

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

Design of function-generating mapping networks by interactive neural-network simulationKORN, G. A.Mathematics and computers in simulation. 1991, Vol 33, Num 1, pp 23-31, issn 0378-4754, 9 p.Article

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

Backpropagation learning algorithm with different learning coefficients for each layerTAKECHI, H; MURAKAMI, K; IZUMIDA, M et al.Systems and computers in Japan. 1995, Vol 26, Num 7, pp 47-56, issn 0882-1666Article

Training neural networks for minimum average risk with a special application to context dependent learningSPREEUWERS, L.Pattern recognition letters. 1995, Vol 16, Num 12, pp 1221-1236, issn 0167-8655Article

Neural control of a batch distillationCRESSY, D. C; NABNEY, I. T; SIMPER, A. M et al.Neural computing & applications (Print). 1993, Vol 1, Num 2, pp 115-123, issn 0941-0643Article

An approach to the generalization problem in the backpropagation methodMATSUOKA, K.Systems and computers in Japan. 1991, Vol 22, Num 2, pp 97-106, issn 0882-1666, 10 p.Article

A Pragmatic Coded Modulation Scheme for High-Spectral-Efficiency Fiber-Optic CommunicationsSMITH, Benjamin P; KSCHISCHANG, Frank R.Journal of lightwave technology. 2012, Vol 30, Num 13-16, pp 2047-2053, issn 0733-8724, 7 p.Article

Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvatureMIZUTANI, Eiji; DREYFUS, Stuart E.Neural networks. 2008, Vol 21, Num 2-3, pp 193-203, issn 0893-6080, 11 p.Conference Paper

Spurious Valleys in the Error Surface of Recurrent Networks―Analysis and AvoidanceHORN, Jason; DE JESUS, Orlando; HAGAN, Martin T et al.IEEE transactions on neural networks. 2009, Vol 20, Num 4, pp 686-700, issn 1045-9227, 15 p.Article

Unified Treatment of Forward and Backward Propagating Polarized LightwavesMECOZZI, Antonio; ANTONELLI, Cristian.Journal of lightwave technology. 2011, Vol 29, Num 5-8, pp 642-655, issn 0733-8724, 14 p.Article

Conrprop: un algoritmo para la optimización de funciones no lineales con restricciones = Conrprop: an algorithm for nonlinear optimization with constraintsVILLA, Fernán; VELASQUEZ, Juan; JARAMILLO, Patricia et al.Revista Facultad de Ingeniería Universidad de Antioquia. 2009, Num 50, pp 188-194, issn 0120-6230, 7 p.Article

Coding potential prediction in Wolbachia using artificial neural networksLAMBROS, Skarlas; PANOS, Ioannidis; SPIRIDON, Likothanassis et al.In silico biology (Gedrukt). 2007, Vol 7, Num 1, pp 105-113, issn 1386-6338, 9 p.Article

New approximation method for smooth error backpropagation in a quantron networkDE MONTIGNY, Simon.Neural networks. 2014, Vol 60, pp 84-95, issn 0893-6080, 12 p.Article

Ear recognition with feed-forward artificial neural networksSIBAI, Fadi N; NUAIMI, Amna; MAAMARI, Amna et al.Neural computing & applications (Print). 2013, Vol 23, Num 5, pp 1265-1273, issn 0941-0643, 9 p.Article

Model selection in Neural Networks : Some difficultiesCURRY, B; MORGAN, P. H.European journal of operational research. 2006, Vol 170, Num 2, pp 567-577, issn 0377-2217, 11 p.Article

Attention Improves the Recognition Reliability of Backpropagation NetworkMIKRUT, Zbigniew; PIASKOWSKA, Agata.Lecture notes in computer science. 2006, pp 633-642, issn 0302-9743, isbn 3-540-35748-3, 1Vol, 10 p.Conference Paper

Stability analysis of a three-term backpropagation algorithmZWEIRI, Yahya H; SENEVIRATNE, Lakmal D; ALTHOEFER, Kaspar et al.Neural networks. 2005, Vol 18, Num 10, pp 1341-1347, issn 0893-6080, 7 p.Article

A Hyperbolic Multilayer PerceptronBUCHHOLZ, Sven; SOMMER, Gerald.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol2.129-133, isbn 0-7695-0619-4, 6VolConference Paper

A fault-tolerant multilayer neural network model and its propertiesYASUO TAN; NANYA, T.Systems and computers in Japan. 1994, Vol 25, Num 2, pp 33-43, issn 0882-1666Article

Alternate Learning Algorithm on Multilayer PerceptronsCHOI, Bumghi; LEE, Ju-Hong; PARK, Tae-Su et al.Lecture notes in computer science. 2006, pp 63-67, issn 0302-9743, isbn 3-540-34379-2, 5 p.Conference Paper

Predicting chaotic time series by ensemble self-generating neural networksINOUE, Hirotaka; NARIHISA, Hiroyuki.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol2.231-236, isbn 0-7695-0619-4, 6VolConference Paper

A new method to prune the neural networkWEISHUI WAN; HIRASAWA, Kotaro; JINGLU HU et al.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol6.449-454, isbn 0-7695-0619-4, 6VolConference Paper

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