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• W2014906185 abstract "In this paper, the Cohen–Grossberg neural networks (CGNNs) with variable and unbounded delays are studied. By using the Lipschitzian Hadamard Theorem and a property of homeomorphism mapping, some new sufficient conditions are obtained to ensure the existence, uniqueness and stability of the equilibrium point. The activation functions need only to be partially Lipschitz continuous and monotone nondecreasing, but do not require to be bounded or differentiable." @default.
• W2014906185 created "2016-06-24" @default.
• W2014906185 creator A5017808266 @default.
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• W2014906185 date "2005-10-01" @default.
• W2014906185 modified "2023-09-23" @default.
• W2014906185 title "Absolutely exponential stability of Cohen–Grossberg neural networks with unbounded delays" @default.
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• W2014906185 doi "https://doi.org/10.1016/j.neucom.2005.02.005" @default.
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