Mean square asymptotic behavior of stochastic neural networks with infinitely distributed delays

Authors:
Bing Li;Daoyi Xu
Affiliations:
College of Science, Chongqing Jiaotong University, Chongqing 400074, China;Yangtze Center of Mathematics, Sichuan University, Chengdu 610064, China
Venue:
Neurocomputing
Year:
2009

Citing 6
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Abstract

In this paper, according to classic M-matrix method, integral-differential inequality technique and Ito formula, we study asymptotic behavior in mean square sense of stochastic neural networks with infinitely distributed delays by establishing a generalized Halanay inequality. This is a new means for investigating asymptotic behavior of stochastic differential equation. Some useful results are derived. Especially, our methods can be extended to research p-moment asymptotic behavior easily. At last, example and simulations demonstrate the power of our methods.