Neural Networks, Fuzzy Logic And Genetic Algorithms: Synthesis And Applications

by S. Rajasekaran

This book provides comprehensive introduction to a consortium of technologies underlying soft computing. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization.
This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year postgraduate engineering levels.

Genres: Computer Science, Artificial Intelligence

627 pages, Kindle Edition

First published August 1, 2004

Reviews

[Sadgun Sunder · Rating 4 out of 5]

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[Anandh · Rating 4 out of 5]

best book

[Krishna Suthar · Rating 5 out of 5]

good book for computer science learner.

[Sri Charan · Rating 4 out of 5]

good foundations on nn,ga, and fuzzy logic

[Pooja · Rating 3 out of 5]

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[Sireesga · Rating 1 out of 5]

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