A First Course in Fuzzy and Neural Control (Hardcover)

by Hung T. Nguyen (Author), Nadipuram R. Prasad (Author), Carol L. Walker (Author), Ebert A. Walker (Author)
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Editorial Reviews

Review
…Simple, concise, and easy to read from the student's perspective…a welcome addition to the…references in the fields of neural and fuzzy systems.
SIAM Review Vol. 46, No. 1

…Simple, concise, and easy to read from the students perspective…a welcome addition to the…references in the fields of neural and fuzzy systems.
SIAM Review Vol. 46, No. 1

Product Description
Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding of both, engineers cannot make a sound determination of which technique to use for a given situation.A First Course in Fuzzy and Neural Control is designed to build the foundation needed to make those decisions. It begins with an introduction to standard control theory, then makes a smooth transition to complex problems that require innovative fuzzy, neural, and fuzzy-neural techniques. For each method, the authors clearly answer the questions: What is this new control method? Why is it needed? How is it implemented? Real-world examples, exercises, and ideas for student projects reinforce the concepts presented.Developed from lecture notes for a highly successful course titled The Fundamentals of Soft Computing, the text is written in the same reader-friendly style as the authors' popular A First Course in Fuzzy Logic text. A First Course in Fuzzy and Neural Control requires only a basic background in mathematics and engineering and does not overwhelm students with unnecessary material but serves to motivate them toward more advanced studies.

Product Details

• Hardcover: 320 pages
• Publisher: Chapman & Hall/CRC; 1 edition (November 26, 2002)
• Language: English
• ISBN-10: 1584882441
• ISBN-13: 978-1584882442
• Product Dimensions: 9.9 x 6.2 x 0.9 inches
• Shipping Weight: 1.3 pounds (View shipping rates and policies)
• Average Customer Review: 4.7 out of 5 stars See all reviews (3 customer reviews)
• Amazon.com Sales Rank: #1,490,489 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

4.0 out of 5 stars Intermedium level, January 21, 2005

By	Henry Arguello (Colombia) - See all my reviews (REAL NAME)

This book deepens concepts about fuzzy theory and fuzzy control. It is a useful tool to develop applications in fuzzy control. Otherwise this one presents a basic introduction to neural network, furthermore the theory about neural-fuzzy and fuzzy-neural is presented in basic form. The book contains a large number of examples about all items and Matlab software is used in many of they. I would catalog this book in medium level of deepening. Topics about fuzzy control are tried deeper than neuro-fuzzy, fuzzy-neural topics.

3 of 4 people found the following review helpful:

5.0 out of 5 stars Excellent introductory book, September 24, 2003

By	Darrel Robertson (Somerville, MA United States) - See all my reviews

Fascinating reading. I had trouble putting it down at times, which is a lot to be said for a text book! Although I had lots of experience with classical control methods I hadn't studied neural or fuzzy systems before. I found the book gave me an excellent introduction to the topics in a highly readable format and yet also gave me the details mathematics required to be able to be able to program fuzzy and neural systems myself. It also had examples using the Matlab toolboxes which was useful.

5.0 out of 5 stars Fascinating Introduction to Bio-Inspired Technolgies, October 24, 2008

By	salmanza - See all my reviews

A First Course in Fuzzy and Neural Control provide a great introduction to fuzzy and neural systems, giving enough level of detail when needed and without missing the point that it is intended for an introductory course. The book provides a well-balanced lecture going from key concepts of classical control theory to soft-computing control techniques. This is definitely a "must have" book in any personal library of anyone interested in the study and development of bio-inspired technologies. From academic point of view, A First Course in Fuzzy and Neural Control is the ideal text book for introductory courses on the subject that will be the source of inspiration for the students to get motivated to explore the fascinating world of soft-computing and bio-inspired technologies.