Regularized Radial Basis Function Networks

Theory and Applications

Paul V. Yee, Simon Haykin (Autoren)

Buch | Hardcover

208 Seiten

2001
Wiley-Interscience (Verlag)
978-0-471-35349-2 (ISBN)

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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.

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.

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.

Erscheint lt. Verlag	24.4.2001
Reihe/Serie	Adaptive and Learning Systems for Systems for Signal Processing, Communications, and Control Series
Sprache	englisch
Maße	161 x 239 mm
Gewicht	481 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
ISBN-10	0-471-35349-3 / 0471353493
ISBN-13	978-0-471-35349-2 / 9780471353492
Zustand	Neuware