Sebanyak 1 item atau buku ditemukan

NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM

SYNTHESIS AND APPLICATIONS (WITH CD)

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 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. Every 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. 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.

Algorithm. We have already seen the benefit of the middle-hidden layer in an
artificial neural network. We understand that the hidden layer allows ANN to
develop its own internal representation of this mapping. Such a rich and complex
internal representation capability allows the hierarchical network to learn any
mapping and not just linearly separable ones. Let us consider the three-layer
network with input layer having 'l' nodes, hidden layer having 'm' nodes, and an
output layer ...