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

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

Representing and learning boolean functions of multivalued featuresHAMPSON, S. E; VOLPER, D. J.IEEE transactions on systems, man, and cybernetics. 1990, Vol 20, Num 1, pp 67-80, issn 0018-9472, 14 p.Article

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

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

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

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

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

Study of application model on BP neural network optimized by fuzzy clusteringYONG HE; YUN ZHANG; LIGUO XIANG et al.Lecture notes in computer science. 2005, pp 712-720, issn 0302-9743, isbn 3-540-29896-7, 1Vol, 9 p.Conference Paper

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

High performance learning by modified error backpropagationWIDDER, D. R; FIDDY, M. A.Neural computing & applications (Print). 1993, Vol 1, Num 3, pp 183-187, issn 0941-0643Article

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

Back propagation architecture for computing visual depthEVANS, D. J; SANOSSIAN, H. Y.International journal of computer mathematics. 1991, Vol 39, Num 1-2, pp 1-9, issn 0020-7160, 9 p.Article

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

AVLR-EBP: A Variable Step Size Approach to Speed-up the Convergence of Error Back-Propagation AlgorithmDIDANDEH, Arman; MIRBAKHSH, Nima; AMIRI, Ali et al.Neural processing letters. 2011, Vol 33, Num 2, pp 201-214, issn 1370-4621, 14 p.Article

Application of artificial neural networks in abrasive waterjet cutting processYIYU LU; XIAOHONG LI; BINQUAN JIAO et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-25912-0, 3Vol, Part3, 877-882Conference Paper