Foundations of Wavelet Networks and Applications
Publisher: Chapman & Hall/CRC
Published: June 27, 2002
Language: eng
Format: Hardcover
Number of pages: 288
ISBN-13: 9781584882749
Subjects: Calculus & mathematical analysis; Neural Networks; Functional Analysis; Harmonic Analysis; Neural Computing; Neural networks (Computer science); Computers; Mathematics; Computer Books: General; Applied; Computer Engineering; Mathematical Analysis; Mathematics / Applied; Neural networks (Computer scie; Wavelets (Mathematics)
First sentence: Intuitively, a set is a collection of objects.
Description: "Traditionally, neural networks and wavelet theory have been two separate disciplines, taught separately and practiced separately. In recent years the offspring of wavelet theory and neural networks - wavelet networks - have emerged and grown vigorously both in research and applications. Yet the material needed to learn or teach wavelet networks has remained scattered in various research monographs.".

"Foundations of Wavelet Networks and Applications unites these two fields in a comprehensive integrated presentation of wavelets and neural networks. It begins by building a foundation, including the necessary mathematics.

A transitional chapter on recurrent learning then leads to an in-depth look at wavelet networks in practice, examining important applications that include using wavelets as stock market trading advisors, as classifiers in electroencephalographic drug detection, and as predictors of chaotic time series. The final chapter explores concept learning and approximation by wavelet networks."--BOOK JACKET.