Regularized Radial Basis Function Networks by Paul V Yee

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Summary

This title deals with the design of Radial Basis Function Networks (RBFNs), one of two classes of feedforward networks with applications in artificial neural networks, for particular tasks. These applications are in such engineering problems as nonlinear process estimation and control.

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Regularized Radial Basis Function Networks by Paul V Yee

Dieser Band besch ftigt sich mit RBFNs, einer Klasse von Netzwerken, die in neuronalen Netzen f r spezielle Anwendungen, beispielsweise in der nichtlinearen Proze absch tzung und -steuerung, Einsatz finden. Alle wichtigen mathematischen Begriffe und Theoreme werden ausf hrlich erl utert. Ein ma gebliches Buch zu einer hochmodernen Technologie
"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)

Paul V. Yee is the author of Regularized Radial Basis Function Networks: Theory and Applications, published by Wiley.

Simon Haykin is the author of Regularized Radial Basis Function Networks: Theory and Applications, published by Wiley.

SKU Unavailable
ISBN 13 9780471353492
ISBN 10 0471353493
Title Regularized Radial Basis Function Networks
Author Paul V Yee
Series Adaptive And Cognitive Dynamic Systems: Signal Processing Learning Communications And Control
Condition Unavailable
Binding Type Hardback
Publisher John Wiley & Sons Inc
Year published 2001-04-24
Number of pages 208
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.