Neural Networks For Signal Processing
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Fuzzy Systems and Soft Computing in Nuclear Engineering
Author: Da Ruan
language: en
Publisher: Springer Science & Business Media
Release Date: 2000-01-14
This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume highlights the advantages of applying fuzzy systems and soft computing in nuclear engineering, which can be viewed as complementary to traditional methods. As a result, fuzzy sets and soft computing provide a powerful tool for solving intricate problems pertaining in nuclear engineering. Each chapter of the book is self-contained and also indicates the future research direction on this topic of applications of fuzzy systems and soft computing in nuclear engineering.
Neural Networks for Optimization and Signal Processing
Author: Andrzej Cichocki
language: en
Publisher: John Wiley & Sons
Release Date: 1993-06-07
A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.
Applied Neural Networks for Signal Processing
A comprehensive introduction to the use of neural networks in signal processing.