Regularized Radial Basis Function Networks: Theory and Applications by Paul V. YeeRegularized Radial Basis Function Networks: Theory and Applications by Paul V. Yee

Regularized Radial Basis Function Networks: Theory and Applications

byPaul V. Yee, Simon Haykin

Hardcover | April 16, 2001

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Simon Haykin is a well-known author of books on neural networks.
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Title:Regularized Radial Basis Function Networks: Theory and ApplicationsFormat:HardcoverDimensions:208 pages, 9.39 × 6.34 × 0.75 inPublished:April 16, 2001Publisher:WileyLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0471353493

ISBN - 13:9780471353492

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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.

Editorial Reviews

"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)

..."the book serves as a bridge between the two areas of nonparametric kernel estimations and artificial neural networks...well written..." ("Technometrics," Vol. 44, No. 3, August 2002)