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• W1523922655 abstract "The paper is devoted to the global asymptotic stability (GAS)of equilibrium point for a class of neural networks with distributed delays. Some sufficient criteria of the the GAS of equilibrium point are derived. We don't assume that the signal propagation functions satisfy the Lipschitz condition and do not require them to be bounded, differentiable or strictly increasing. Moreover, the symmetry of the connection matrix is not also necessary. These conditions are presented in terms of system parameters and have importance leading significance in designs and applications of the GAS for neural networks system with distributed delays. Two examples are also worked out to demonstrate the advantages of our results." @default.
• W1523922655 created "2016-06-24" @default.
• W1523922655 creator A5070826510 @default.
• W1523922655 date "2003-09-01" @default.
• W1523922655 modified "2023-09-23" @default.
• W1523922655 title "Global stability of neural network with distributed delays" @default.
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