Regularized Radial Basis Function Networks. Theory and Applications. Adaptive and Learning Systems for Signal Processing, Communications and Control Series

  • ID: 2172676
  • Book
  • 208 Pages
  • John Wiley and Sons Ltd
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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.
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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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"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)
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