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• W2030221111 abstract "In this paper, by utilizing Lyapunov functional method and the linear matrix inequality approach, we analyze the global asymptotic stability of Hopfield neural networks with time delays. A new sufficient condition ensuring global asymptotic stability of the unique equilibrium point of delayed Hopfield neural networks is obtained. The result is related to the size of delays. A numerical example is given to illustrate the efficiency of our result." @default.
• W2030221111 created "2016-06-24" @default.
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• W2030221111 date "2007-10-01" @default.
• W2030221111 modified "2023-10-18" @default.
• W2030221111 title "Delay-dependent global stability results for delayed Hopfield neural networks" @default.
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• W2030221111 doi "https://doi.org/10.1016/j.chaos.2006.03.073" @default.
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