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 Название: Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications, 2nd Edition
Автор: S. Rajashekaran and G.A. Vijayalksmi
Издательство: Prentice-Hall
Год: 2017
Формат: AZW3, EPUB
Размер: 50 Мб
Язык: английский / English
This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. 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 hybridisation 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 hybridisation.
Eachy architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. </p><p> 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 post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work
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Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications, 2nd Edition 
