NEURAL NETWORKS FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS: SYNTHESIS AND APPLICATION, 2ND EDN

RAJASEKARAN & PAI; G.A. Vijayalakshmi Pai

ISBN 10: 812035334X / ISBN 13: 9788120353343

Editore: Prentice Hall of India, 2017

Riguardo questo articolo

Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.

Codice articolo ASNT3-311761

Dati bibliografici

• Titolo: NEURAL NETWORKS FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS: SYNTHESIS AND APPLICATION, 2ND EDN
• Editore: Prentice Hall of India
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 812035334X
• ISBN 13: 9788120353343
• Rilegatura: Brossura
• Edizione: seconda edizione
• Condizione: New

Descrizione articolo

Riassunto

The second edition of the book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid).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 the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.NEW TO THE SECOND EDITION:New chapters on Extreme Learning Machine, Type-2 Fuzzy Sets, Evolution Strategies, Differential Evolution, and Evolutionary Extreme Learning Machine.Revised chapters on Introduction to Artificial Intelligence Systems, Fuzzy Set Theory, and Integration of Neural Networks, Fuzzy Set Theories, and Evolutionary Algorithms.