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Constant-frequency voltage-scanned reflecto-directive systemLIM, Sungjoon; CALOZ, Christophe; ITOH, Tatsuo et al.IEEE antennas and propagation society international symposiumNational radio science meeting. 2004, pp 1427-1430, isbn 0-7803-8302-8, 4Vol, 4 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

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

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

Extraction de règles à l'aide de réseaux de neurones = Rules extraction using neural networksKane, Raqui; Milgram, M.1994, 181 p.Thesis

Approximation of interval models by neural networksXIFAN YAO; SHENGDA WANG; SHAOQIANG DONG et al.International Joint Conference on Neural Networks. 2004, isbn 0-7803-8359-1, 4Vol, Vol2, 1027-1032Conference Paper

Constructing extensions of bayesian classifiers with use of normalizing neural networksSLEZAK, Dominik; WROBLEWSKI, Jakub; SZCZUKA, Marcin et al.Lecture notes in computer science. 2003, pp 408-416, issn 0302-9743, isbn 3-540-20256-0, 9 p.Conference Paper

A perceptron with optimized backpropagation learning algorithm to preset a temper mill machine : NeuroskinPican, N; Bresson, P; Alexandre, F et al.1993, 12 p.Report

Optical backpropagation for fiber-optic communications using highly nonlinear fibersKUMAR, Shiva; DONG YANG.Optics letters. 2011, Vol 36, Num 7, pp 1038-1040, issn 0146-9592, 3 p.Article

An insight into the standard back-propagation neural network model for regression analysisWANG, S.Omega (Oxford). 1998, Vol 26, Num 1, pp 133-140, issn 0305-0483Article

Feedforward neural networks in reinforcement learning applied to high-dimensional motor controlCOULOM, Rémi.Lecture notes in computer science. 2002, pp 403-413, issn 0302-9743, isbn 3-540-00170-0, 11 p.Conference Paper

Comments on Can backpropagation error surface not have local minima?'HAMEY, L. G. C.IEEE transactions on neural networks. 1994, Vol 5, Num 5, pp 844-845, issn 1045-9227Article

An approach to fault point identification using neocognitron and BP neural networkZHOU, D; YASUDA, K; YOKOYAMA, R et al.Electrical engineering in Japan. 1996, Vol 117, Num 1, pp 30-44, issn 0424-7760Article

Learning abilities of simple feed forward neural networks by means of the back-propagation algorithmADACHI, Y; OZAKI, M.Transactions of the Institute of electronics, information and communication engineers. 1989, Vol 72, Num 10, pp 1093-1096, issn 0913-574XArticle

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

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

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

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

Backpropagation with homotopyYANG, L; YU, W.Neural computation. 1993, Vol 5, Num 3, pp 363-366, issn 0899-7667Article

Short-term load forecasting using an artificial neural networkLEE, K. Y; CHA, Y. T; PARK, J. H et al.IEEE transactions on power systems. 1992, Vol 7, Num 1, pp 124-132, issn 0885-8950Conference Paper

A symbolic interpretation for back-propagation networksMAGREZ, P; ROUSSEAU, A.International journal of intelligent systems. 1992, Vol 7, Num 4, pp 339-360, issn 0884-8173Article

Ultra-wideband beamforming by using a complex-valued spatio-temporal neural networkSUKSMONO, Andriyan B; HIROSE, Akira.Lecture notes in computer science. 2004, pp 104-109, issn 0302-9743, isbn 3-540-23931-6, 6 p.Conference Paper

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