Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence/Book and Disk [Hardcover]

Bart Kosko (Author)

Book Description

ISBN-10: 0136114350 | ISBN-13: 978-0136114352 | Publication Date: June 1991 | Edition: Har/Dis

Combining neural networks and fuzzy systems, this presents neural networks as trainable dynamical systems and develops mechanisms and principles of adaption, self-organization, covergence and global stability. It also includes the new geometric theory of fuzzy sets, systems and associative memories. Kosko shows how to apply fuzzy theory to adaptive control and how to generate structured fuzzy systems with unsupervised neural techniques. The book is designed to be appropriate for courses in engineering, computer science, mathematics, psychology and biology. Neural, fuzzy and neural-fuzzy IBM PC software is included.

Editorial Reviews

From the Publisher

An integrated examination of neural networks and fuzzy systems -- from the theoretical level of first principles and the applications level of adaptive fuzzy systems in control and signal processing.

Product Details

• Hardcover: 449 pages
• Publisher: Prentice Hall; Har/Dis edition (June 1991)
• Language: English
• ISBN-10: 0136114350
• ISBN-13: 978-0136114352
• Product Dimensions: 9.3 x 7.1 x 1.2 inches
• Shipping Weight: 1.8 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #978,387 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

5.0 out of 5 stars An Advanced Neural networks Book, July 29, 2004

By 

AJ (NJ USA) - See all my reviews

This review is from: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence/Book and Disk (Hardcover)

Bart's is legendary known for his contribution to Neural networks and Fuzzy logic. This book though very good, is an advanced level book preferably for a graduate student. Thorough knowledge of Signal analysis and probability would be needed for most part of the book. Advantages of the book is it is, if not the deepest book, on Neural networks and Fuzzy logic, it will surely count as one of the most finest book dealing in the subjects.
Disadvantages: I dont know the reason why Bart has included so many theorem proving solutions like proving why BAM(Bilinear Associative memory) works. Though i commend that he has done a fine work with proving the stability of many learning algorithms. I wont recommend this book to a newbie if opting for Neural networks. Introduction to Neural Networks by Zurada ASIN-0314933913 is better off in teaching all the different Algorithms in depth.

This book earns a 5 star from me because of the indepth coverage it has on the subjects.

5.0 out of 5 stars This is a great book - elementary and mainly electrical engg, October 15, 1999

By A Customer

This review is from: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence/Book and Disk (Hardcover)

This book develops both the theories from the basics. It wonderfully describes the various theories and architectures logically developing the ideas. It has a practical approach and a generalised view without any sort of bias on computer programming alone. Professor Kosko also mathematically describes the underlying mechanism of both neural and fuzzy system. The interdisciplinary examples from various fields show how machine intelligence can be used as proper alternative approaches effectively. I recomend every Electrical and computer engg. to read the book eventhough he/she does not work in the area of m/c intelligence. A must for people in M/C intelligence.