Neural Networks and Fuzzy Systems

Theory and Applications

By:

Shigeo Abe

Format:

Hardback

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Description

This text discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems. It 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. Recent 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.

Release date Australia

November 30th, 1996

Author

Shigeo Abe

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational

Illustrations

XVI, 258 p.

Pages

258

Dimensions

156x234x17

ISBN-13

9780792398141

Product ID

2438432

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