Global stability of bidirectional associative memory neural networks with variable coefficients and s-type distributed delays

Authors:
Yonggui Kao;Cunchen Gao;Lu Wu;Qinghe Ming
Affiliations:
College of Information Science and Engineering, Ocean University of China, Qingdao, P.R. China;Department of Mathematics, Ocean University of China, Qingdao, P.R. China;College of Information Science and Engineering, Ocean University of China, Qingdao, P.R. China;Department of Mathematics, ZaoZhuang University, P.R. China
Venue:
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Year:
2006

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Abstract

This paper is devoted to investigation of the global asymptotic stability for Bidirectional associative memory (BAM) neural networks with variable coefficient and S-type distributed signal transmission delays along the axon of a neuron. Some sufficient conditions for global asymptotic stability of the networks was obtained, in which the boundedness and differentiability of the signal functions in some papers are deleted. Some examples are also presented to show that our results are new and improve the previous results.