Letters: Attractor and boundedness for stochastic Cohen-Grossberg neural networks with delays

Authors:
Li Wan;Qinghua Zhou
Affiliations:
School of Mathematics and Computer, Wuhan Textile University, Wuhan 430073, China;Department of Mathematics, Zhaoqing University, Zhaoqing 526061, China
Venue:
Neurocomputing
Year:
2012

Citing 12
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Abstract

By employing Lyapunov method and Lasalle-type theorem, the attractor of stochastic Cohen-Grossberg neural networks (CGNN) with delays is initially investigated. Novel results and sufficient criteria on the attractor of stochastic CGNN are obtained. The almost surely asymptotic stability is a special case of our results. The boundedness of stochastic CGNN is also investigated. Finally, one example is presented to illustrate the correctness and effectiveness of our theoretical results.