Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence

Jang, Jyh-Shing Roger; Sun, Chuen-Tsai; Mizutani, Eiji

ISBN 10: 0132610663 / ISBN 13: 9780132610667

Published by Pearson College Div, 1997

About this Item

Some pencil notes and underlining found scattered throughout the text; previous owner's signature has been covered up with white-out on the first free end page. Binding is sturdy. Covers show some light wear around the corners and at the head and base of the spine. International/Priority shipping at cost. 614pp. Seller Inventory # 066789

Bibliographic Details

Title: Neuro-Fuzzy and Soft Computing: A ...

Publisher: Pearson College Div

Publication Date: 1997

Binding: Paperback

Condition: Good

Dust Jacket Condition: None Issued

About this title

Synopsis:

Intended for use in courses on computational intelligence at either the college senior or first-year graduate level.

This text provides the first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence. The book places equal emphasis on theoretical aspects of covered methodologies, empirical observations and verifications of various applications in practice.

From the Back Cover:

Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.