一类时延神经网络的非线性分析

NONLINEAR BEHAVIOR IN A DELAYED NEURAL NETWORK MODEL

  • 摘要: 本文详细讨论了一类由两神经元藕合的时延网络系统,分析了该系统稳定、分叉的条件,指出利用分叉稳定因子(延迟时间)可以进行分叉控制、极限环幅值控制等,并给出了仿真的具体实例.

     

    Abstract: In this paper,the nonlinear behavior in a delayed neural network model with two neurons is discussed.Conditions for stability and bifurcation of the model are also given.It is showed that utilizing bifurcation stability coefficients can control bifurcation and amplitude of the bifurcated solutions.An example is given and numerical simulations are performed to illustrate the obtained results

     

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