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• W2516427819 abstract "This paper is concerned with the problem of asymptotic stability of recurrent neural networks with time-varying delays. The activation functions are monotone nondecreasing with known lower and upper bounds, and satisfy a more general sector condition. A novel Lyapunov-Krasovsii functional based on delay-decomposition approach is constructed. By using Jensen inequality and reciprocally convex combination to estimate the derivative of Lyapunov-Krasovsii functional, a new stability criterion for recurrent neural networks with time-varying delays is obtained. And a numerical simulation is given to verify the effectiveness of the proposed method." @default.
• W2516427819 created "2016-09-16" @default.
• W2516427819 creator A5018538132 @default.
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• W2516427819 date "2016-05-01" @default.
• W2516427819 modified "2023-09-28" @default.
• W2516427819 title "Stability analysis for delayed recurrent neural networks based on delay-decomposition approach" @default.
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• W2516427819 doi "https://doi.org/10.1109/ccdc.2016.7531286" @default.
• W2516427819 hasPublicationYear "2016" @default.
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