Journal
CHAOS SOLITONS & FRACTALS
Volume 27, Issue 5, Pages 1347-1354Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2005.04.112
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The global asymptotic stability of bi-directional associative memory neural networks with distributed delays and reaction-diffusion terms are studied by using the analysis technique and Lyapunov functional. A sufficient condition is proposed. Two numerical examples are given to show the correctness of our analysis. (c) 2005 Elsevier Ltd. All rights reserved.
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