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• W2969520062 abstract "In this paper, without using reduced-order method, a class of non-autonomous inertial neural networks with time-varying connection weights and unbounded continuously distributed delays are considered. Based upon Lyapunov function method and differential inequality technique, some sufficient conditions are established to reveal that all solutions of the addressed model and their derivatives converge to zero vector, which extend and complement earlier ones in the literature. Moreover, a numerical example is provided to illustrate the correctness of the theoretical results." @default.
• W2969520062 created "2019-08-29" @default.
• W2969520062 creator A5051192580 @default.
• W2969520062 date "2019-08-21" @default.
• W2969520062 modified "2023-10-17" @default.
• W2969520062 title "Convergence on non-autonomous inertial neural networks with unbounded distributed delays" @default.
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• W2969520062 doi "https://doi.org/10.1080/0952813x.2019.1652941" @default.
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