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Hopf bifurcation in Cohen-Grossberg neural network with distributed delays

机译:Cohen-Grossberg神经网络中具有分布时滞的Hopf分支

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摘要

In this paper, we discuss the stability and bifurcation of the distributed delays Cohen-Grossberg neural networks with two neurons. By choosing the average delay as a bifurcation parameter, we prove that Hopf bifurcation occurs. The stability of bifurcating periodic solutions and the direction of Hopf bifurcation are determined by applying the normal form theory and the center manifold theorem. Finally, numerical simulation results are given to support the theoretical predictions. (c) 2005 Elsevier Ltd. All rights reserved.
机译:在本文中,我们讨论了具有两个神经元的分布式时滞Cohen-Grossberg神经网络的稳定性和分支。通过选择平均延迟作为分叉参数,我们证明发生了Hopf分叉。分岔周期解的稳定性和Hopf分岔的方向是通过应用正规形式理论和中心流形定理确定的。最后,给出了数值模拟结果以支持理论预测。 (c)2005 Elsevier Ltd.保留所有权利。

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