ISSN:
1573-773X
Keywords:
associative memory
;
chaos
;
chaotic neural networks
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract Based on an analysis of current principal chaotic neural network models and their applications in information processing, we propose a one-dimensional, two-way coupled map network and a modified definition of an auto-associative matrix. The two-way coupled map network overcomes the weakness of the globally coupled map network and has the same abilities in pattern classification. Numerical simulation experiments have shown that the associative success rate and recall speed of our modified definition of the auto-associative matrix are an improvement them over existing methods. Moreover, the associative recall process of the network is analyzed in detail and explanations of improvement are given, basd on our theoretical analysis.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1018633610274
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