Wavelets In Soft Computing

By: Marc Thuillard

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Hardcover | 18 June 2001

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Hardcover
248 Pages

Dimensions(cm)
23.5 x 17.15 x 1.27

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This book presents the state of integration of wavelet theory and multiresolution analysis into soft computing. It is the first book on hybrid methods combining wavelet analysis with fuzzy logic, neural networks or genetic algorithms. Much attention is given to new approaches (fuzzy-wavelet) that permit one to develop, using wavelet techniques, linguistically interpretable fuzzy systems from data. The book also introduces the reader to wavelet-based genetic algorithms and multiresolution search. A special place is given to methods that have been implemented in real world applications, particularly the different techniques combining fuzzy logic or neural networks with wavelet theory.

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Foreword
Acknowledgements
Introduction to Wavelet Theory	p. 1
Preprocessing: The Multiresolution Approach	p. 31
Spline-Based Wavelets Approximation and Compression Algorithms	p. 71
Automatic Generation of a Fuzzy System with Wavelet Based Methods	p. 91
On-Line Learning	p. 121
Nonparametric Wavelet-Based Estimation and Regression Techniques	p. 139
Developing Intelligent Products	p. 153
Genetic Algorithms and Multiresolution	p. 165
Annexes: Lifting Scheme, Nonlinear Wavelets	p. 195
References	p. 209
Index	p. 221
Table of Contents provided by Blackwell. All Rights Reserved.

Wavelets In Soft Computing

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Hardcover

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