Regularized Radial Basis Function Networks: Theory and Applications / Edition 1

Regularized Radial Basis Function Networks: Theory and Applications / Edition 1

by Paul V. Yee, Simon Haykin
     
 

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.See more details below

Overview

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.

Product Details

ISBN-13:
9780471353492
Publisher:
Wiley
Publication date:
04/16/2001
Series:
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Series, #20
Pages:
208
Product dimensions:
6.34(w) x 9.39(h) x 0.75(d)

Related Subjects

Table of Contents

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.

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