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Thuillard M. — Wavelets in Soft Computing
Thuillard M. — Wavelets in Soft Computing



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Название: Wavelets in Soft Computing

Автор: Thuillard M.

Аннотация:

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.


Язык: en

Рубрика: Computer science/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2001

Количество страниц: 225

Добавлена в каталог: 07.11.2010

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Spline-based wavelets      73
Spline-wavelet      105 111
Standard genetic algorithm      167
Subband Coding      4 23
Surface fitting      73 143
Takagi — Sugeno model      93 97
Target recognition      57 59
Tensor products of one-dimensional wavelets      136
Texture analysis      58
Texture classification      59
Thin plate smoothing spline      143
Thresholding      28 59 83 104
Thresholding adapted to the decomposition with scaling functions      86
Time-frequency analysis      10
TOOLMET      ix
Transients      52
Translated and dilated wavelets      93
Transparency      102 123 155 157
Tree representation      171
Trigonometric wavelets      128
Two-channels filter bank      26
Two-scales relation      15 17 86 126
Uniform kernel      141 146
Validation      113 134 150
Van der Pol model      66
Vanishing moments      49 77
Vibration detection      128
Vibration monitoring      12
Video      27
Voronoi construction      116
Walsh functions      167 169
Watson — Nadaraya estimator      142 149
Wavelet      10 19 23
Wavelet coefficients      11 53
Wavelet decomposition      67
Wavelet decomposition tree      172
Wavelet denoising methods      146
Wavelet estimator      144
Wavelet formalism      176
Wavelet functions at high wavelet-based neural networks      124
Wavelet methods for curve estimation      144
Wavelet networks      124 127
Wavelet packet      28 69 171
Wavelet series      11
Wavelet theory.ix      1 3
Wavelet transform      6
Wavelet version of the Watson- Nadaraya estimator      144
Wavelet versus Fourier transform      6
Wavelet-based algorithms for spline approximation      83
Wavelet-based fuzzy approaches      93
Wavelet-based genetic algorithm      167 205
Wavelet-based genetic algorithm and filter theory      179
Wavelet-based genetic algorithm in the Haar wavelets in classification      5
Wavelet-based genetic algorithm, population evolution      183
Wavelet-based genetic algorithms      174
Wavelets constructions for genetic, wrong data      34
Wavenets      130
What are good candidates scaling and finite population case      188
Zero-order Takagi — Sugeno model      101
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