Regularized Radial Basis Function Networks
Theory and Applications
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
1. Auflage April 2001
XVI, 192 Seiten, Hardcover
Wiley & Sons Ltd
ISBN:
978-0-471-35349-2
John Wiley & Sons
Kurzbeschreibung
Dieser Band beschäftigt sich mit RBFNs, einer Klasse von Netzwerken, die in neuronalen Netzen für spezielle Anwendungen, beispielsweise in der nichtlinearen Prozeßabschätzung und -steuerung, Einsatz finden. Alle wichtigen mathematischen Begriffe und Theoreme werden ausführlich erläutert. Ein maßgebliches Buch zu einer hochmodernen Technologie!
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.
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.
"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)
