STABILITY ANALYSIS OF HOPFIELD NEURAL NETWORKS WITH TIME DELAY

The global asymptotic stability for Hopfield neural networks with time delay was investigated. A theorem and two corollaries were obtained, in which the boundedness and differentiability offjon R in some articles were deleted. Some sufficient conditions for the existence of global asymptotic stable...

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Bibliographic Details
Published in:Applied mathematics and mechanics 2002, Vol.23 (1), p.65-70
Main Author: WANG Lin-shan(王林山) XU Dao-yi(徐道义)
Format: Article
Language:English
Subjects:
degree
equilibrium
networks
neural
stability
topological
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Summary:The global asymptotic stability for Hopfield neural networks with time delay was investigated. A theorem and two corollaries were obtained, in which the boundedness and differentiability offjon R in some articles were deleted. Some sufficient conditions for the existence of global asymptotic stable equilibrium of the networks in this paper are better than the sufficient conditions in quoted articles.
ISSN:0253-4827
1573-2754
DOI:10.1007/bf02437731