Neural Networks and Fuzzy Systems: Theory and Applications

Neural Networks and Fuzzy Systems: Theory and Applications

by Shigeo Abe
     
 

View All Available Formats & Editions

Neural Networks and Fuzzy Systems: Theory and Applications discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems. The book includes performance comparison of neural networks and fuzzy systems using data gathered from real systems. Topics covered include the Hopfield network for combinatorial optimization

See more details below

Overview

Neural Networks and Fuzzy Systems: Theory and Applications discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems. The book includes performance comparison of neural networks and fuzzy systems using data gathered from real systems. Topics covered include the Hopfield network for combinatorial optimization problems, multilayered neural networks for pattern classification and function approximation, fuzzy systems that have the same functions as multilayered networks, and composite systems that have been successfully applied to real world problems. The author also includes representative neural network models such as the Kohonen network and radial basis function network. New fuzzy systems with learning capabilities are also covered.
The advantages and disadvantages of neural networks and fuzzy systems are examined. The performance of these two systems in license plate recognition, a water purification plant, blood cell classification, and other real world problems is compared.

Read More

Editorial Reviews

Booknews
Discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems, comparing performance of real world networks and systems. Examines how pattern classification and function approximation can be realized using neural networks, and using fuzzy systems with a learning capability similar to neural networks. After an overview of the history of neural network research and models, chapters cover the Hopfield network, multilayered networks and other representative models, and fuzzy rules and sets. A final chapter looks at a composite system for blood cell classification, fault detection in electrical systems, and detection of breakouts in continuing steel casting. Includes problems and solutions. Annotation c. by Book News, Inc., Portland, Or.

Product Details

ISBN-13:
9780792398141
Publisher:
Springer US
Publication date:
04/30/1996
Edition description:
1997
Pages:
284
Product dimensions:
9.21(w) x 6.14(h) x 0.69(d)

Related Subjects

Meet the Author

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >