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This book has been translated into Chinese by H. Zhang, C. Ji, and Z. Wang and has been published by the Science Press, 2004.

For ordering information of the translated book, click here.

This book has been reviewed in IEEE Transactions on Neural Networks by R. Romero and F. Gomide.

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Qualitative Analysis and Synthesis of Recurrent Neural Networks,
Anthony N. Michel and Derong Liu

Marcel Dekker, New York, 2001
ISBN: 0-8247-0767-2/ 504 pages

This reference/text analyzes the qualitative properties, limitations,
design, and implementations of artificial recurrent neural networks
and evaluates system operation with applications to associative
memories. It develops techniques including the Outer Product Method,
the Projection Learning Rule, the Eigenstructure Method, and procedures
based on the Perceptron Training Algorithm for appraisals of network
performance; it investigates the effects of parameter perturbations,
time delays, and interconnection constraints on network function; it
assesses the global stability of various neural networks; it presents
methods to decrease the number of spurious states; it develops processes
for optimal network operation and memory storage; and it estimates
the number of stable memories and determines their location in state
space.

For ordering information, please visit
http://www.dekker.com/servlet/product/productid/0767-2
or http://www.dekker.com
or email to amichel@nd.edu or dliu@ece.uic.edu

Contents of the book:

Preface
1. Introduction
2. Some Neural Networks Models
3. Qualitative Analysis of Analog Hopfield-Type Neural
   Networks: Global Results
4. Stability Analysis of Linear Systems Operating on a 
   Closed Hypercube: System (M)
5. Qualitative Analysis of Hopfield-Type Neural Networks:
   Local Results
6. Qualitative Effects of Parameter Perturbations
7. Qualitative Effects of Time Delays
8. Some Synthesis Methods for Associative Memories
9. Effectts of Interconnection Constraints
Index