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Stability and Hopf Bifurcation Analysis of a Class of Neutral Neural Networks

机译:一类中立神经网络的稳定性和Hopf分岔分析

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In this paper, a class of neutral neural networks with delays is considered where the time delays are regarded as parameters. The linear stability of the model is studied by analyzing the distribution of the roots of the characteristic equation. It is found that Hopf bifurcation also occurs when some delays pass through a sequence of critical value.
机译:在本文中,考虑了一类具有延迟的中性神经网络,其中时间延迟被视为参数。通过分析特征方程的根部分布来研究模型的线性稳定性。结果发现,当一些延迟通过一系列临界值时,也会发生跳跃分叉。

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