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Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays

机译:时滞离散时间的Cohen-Grossberg型BAM神经网络的分支

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摘要

A tri-neuron discrete-time Cohen-Grossberg BAM neural network with delays is investigated in this paper. By analyzing the corresponding characteristic equations, the asymptotical stability of the null solution and the existence of Neimark-Sacker bifurcations are discussed. By applying the normal form theory and the center manifold theorem, the direction of the Neimark-Sacker bifurcation and the stability of bifurcating periodic solutions are obtained. Numerical simulations are given to illustrate the obtained results.
机译:本文研究了具有时滞的三神经元离散时间Cohen-Grossberg BAM神经网络。通过分析相应的特征方程,讨论了零解的渐近稳定性以及Neimark-Sacker分叉的存在性。通过应用范式理论和中心流形定理,获得了Neimark-Sacker分支的方向和分支周期解的稳定性。数值模拟说明了所获得的结果。

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