S. Sitharama Iyengar, S. Sitharama Iyengar, V.V. Phoha

• PART A: Mathematical Preliminaries. Wavelets. Neural Networks. Wavelet Networks. PART B: Recurrent Learning. Separating Order from Disorder. Radial Wavelet Neural Networks. Predicting Chaotic Time Series. Concept Learning. Bibliography. Index.

"This book reviews both the theory of some kinds of wavelet networks and a number of applications … . The book is self-contained, as it contains both some mathematical preliminaries and a review of fundamentals about wavelets as well as neural networks. Moreover, at the end of each chapter it contains a number of exercises useful to help the reader to verify the degree of his/her understanding … . The book is highly recommended to all those looking for new methods in neural networks devoted to signal analysis."- Mathematical Reviews, Issue 2005d

S. Sitharama Iyengar, S. Sitharama Iyengar, V.V. Phoha

• PART A: Mathematical Preliminaries. Wavelets. Neural Networks. Wavelet Networks. PART B: Recurrent Learning. Separating Order from Disorder. Radial Wavelet Neural Networks. Predicting Chaotic Time Series. Concept Learning. Bibliography. Index.

"This book reviews both the theory of some kinds of wavelet networks and a number of applications … . The book is self-contained, as it contains both some mathematical preliminaries and a review of fundamentals about wavelets as well as neural networks. Moreover, at the end of each chapter it contains a number of exercises useful to help the reader to verify the degree of his/her understanding … . The book is highly recommended to all those looking for new methods in neural networks devoted to signal analysis."- Mathematical Reviews, Issue 2005d

S. Sitharama Iyengar, S. Sitharama Iyengar, V.V. Phoha

• PART A: Mathematical Preliminaries. Wavelets. Neural Networks. Wavelet Networks. PART B: Recurrent Learning. Separating Order from Disorder. Radial Wavelet Neural Networks. Predicting Chaotic Time Series. Concept Learning. Bibliography. Index.

"This book reviews both the theory of some kinds of wavelet networks and a number of applications … . The book is self-contained, as it contains both some mathematical preliminaries and a review of fundamentals about wavelets as well as neural networks. Moreover, at the end of each chapter it contains a number of exercises useful to help the reader to verify the degree of his/her understanding … . The book is highly recommended to all those looking for new methods in neural networks devoted to signal analysis."- Mathematical Reviews, Issue 2005d