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Bifurcation analysis of a class of neural networks with delays

机译:一类时滞神经网络的分叉分析

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A class of n-dimensional neural network model with multi-delay is considered. Firstly, a group of sufficient conditions for the existence of Hopf bifurcation are obtained via employing the polynomial theorem to analyze the distribution of the roots of the associated characteristic equation. Secondly. the stability and direction of the Hopf bifurcation are determined by applying the normal form method and center manifold theorem. Finally, the multiple stability is investigated and pitchfork bifurcation is also found. The results are illustrated by some numerical simulations. (C) 2007 Elsevier Ltd. All rights reserved.
机译:考虑了一类具有多延迟的n维神经网络模型。首先,利用多项式定理分析相关特征方程根的分布,为存在霍普夫分支的条件提供了一组充分的条件。其次。应用范式和中心流形定理确定Hopf分叉的稳定性和方向。最后,研究了多重稳定性并发现了干草叉分叉。通过一些数值模拟说明了结果。 (C)2007 Elsevier Ltd.保留所有权利。

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