num_pages: 627
description: 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.
language: English
title: Neural Networks, Fuzzy Logic And Genetic Algorithms: Synthesis And Applications
publisher: PHI Learning Private Limited