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.
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.