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带有Leakage时滞脉冲神经网络的渐近稳定性
引用本文:谢祖伟,彭世国,罗营华. 带有Leakage时滞脉冲神经网络的渐近稳定性[J]. 广东工业大学学报, 2009, 26(1): 13
作者姓名:谢祖伟  彭世国  罗营华
作者单位:广东工业大学应用数学学院;
摘    要:讨论带有Leakage时滞的Hopfield神经网络的渐近稳定性,在非线形激励函数满足Lipschtz条件的假设下,通过构建Lyapunov泛函、Dini导数和分析技巧,建立起这一类Hopfield神经网络的渐近稳定性的易于验证的判定依据.

关 键 词:Hopfield神经网络; 渐近稳定性; Leakage时滞; Dini导数;  

The Asymptotic Stability of Networks with Leakage Delays
Xie Zu-wei,Peng Shi-guo,Luo Ying-hua. The Asymptotic Stability of Networks with Leakage Delays[J]. Journal of Guangdong University of Technology, 2009, 26(1): 13
Authors:Xie Zu-wei  Peng Shi-guo  Luo Ying-hua
Affiliation:Faculty of Applied Mathematics,Guangdong University of Technoligy,Guangzhou 510006,China
Abstract:The asymptotic stability of Hopfield networks with leakage delays is studied.Under the assumption that the nonliear stimulating function meets the needs of Lipschitz,by means of constructing suitable Liapunov function,Dini’s derivative and functional analysis techniques,some simpler criteria for asymptotic stability of the unique equilibrium are established.
Keywords:Hopfield neural networks; asymptotic stability; leakage delays; Dini’derivative;  
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