Regularized Radial Basis Function Networks:Theory and Applications
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More About This Title Regularized Radial Basis Function Networks:Theory and Applications
English
Simon Haykin is a well-known author of books on neural networks.
* An authoritative book dealing with cutting edge technology.
* This book has no competition.
* An authoritative book dealing with cutting edge technology.
* This book has no competition.
English
Preface.
Notations.
Introduction.
Basic Tools.
Probability Estimation and Pattern Classification.
Nonlinear Time-Series Prediction.
Nonlinear State Estimation.
Dynamic Reconstruction of Chaotic Processes.
Discussion.
Appendix of Notes to the Text.
References.
Index.
Notations.
Introduction.
Basic Tools.
Probability Estimation and Pattern Classification.
Nonlinear Time-Series Prediction.
Nonlinear State Estimation.
Dynamic Reconstruction of Chaotic Processes.
Discussion.
Appendix of Notes to the Text.
References.
Index.
English
"To serve as a bridge between nonparametric estimation and artificial neural networks, Yee...and Haykin...examines the interplay of ides in the two ideas." (SciTech Book News Vol. 25, No. 2 June 2001)
