科研之友
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摘要
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.
