Wavelets In Soft Computing
About this book
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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Information
Table of contents
- Contents
- Foreword
- Acknowledgements
- Part I Introduction To Wavelet Theory
- Part II Preprocessing: The Multiresolution Approach
- Part III Spline-Based Wavelets Approximation And Compression Algorithms
- Part IV Automatic Generation Of A Fuzzy System With Wavelet Based Methods
- Part V On-Line Learning
- Part VI Nonparametric Wavelet-Based Estimation And Regression Techniques
- Part VII Developing Intelligent Products
- Part VIII Genetic Algorithms And Multiresolution
- Annexes Lifting Scheme Nonlinear Wavelets
- References
- Index
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