具有周期输入的一类神经网络系统的周期解

The Existence of Periodic Solutions for Hopfield Neural Network Equations with Periodic Input

  • 摘要: 目的 研究一类具有周期输入的广义Hopfield型连续神经网络系统周期解的存在性及其周期解唯一稳定的条件。方法 首先通过积分不等式和构造V泛函估计Hopfield型连续神经网络系统关于周期的先验界,然后利用Mawhin的延拓定理导出其周期解的存在性。结果与结论 得到Hopfield型连续神经网络系统在周期解的两个充分条件,推广了有关献中的结论。

     

    Abstract: Aim To investigate the existence and stability of general Hopfield neural network equation with periodic input. Methods\ By using of the integral inequality and V function, the bound of periodic solution was estimated, then the Mawhin's topological method was used to obtain the existence of periodic solution. Results and Conclusion\ Two sufficient conditions to guarantee the existence of periodic solution for this network systems were obtained, and it extended the results in related literatures.

     

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