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具有环形结构的离散时滞 Hopfield 神经网络中的复杂混沌动力学。

Complex and chaotic dynamics in a discrete-time-delayed Hopfield neural network with ring architecture.

机构信息

Department of Mathematics and Computer Science, West University of Timişoara, Bd. V. Pârvan nr. 4, 300223, Timişoara, Romania.

出版信息

Neural Netw. 2009 Dec;22(10):1411-8. doi: 10.1016/j.neunet.2009.03.009. Epub 2009 Mar 26.

Abstract

This paper is devoted to the analysis of a discrete-time-delayed Hopfield-type neural network of p neurons with ring architecture. The stability domain of the null solution is found, the values of the characteristic parameter for which bifurcations occur at the origin are identified and the existence of Fold/Cusp, Neimark-Sacker and Flip bifurcations is proved. These bifurcations are analyzed by applying the center manifold theorem and the normal form theory. It is proved that resonant 1:3 and 1:4 bifurcations may also be present. It is shown that the dynamics in a neighborhood of the null solution become more and more complex as the characteristic parameter grows in magnitude and passes through the bifurcation values. A theoretical proof is given for the occurrence of Marotto's chaotic behavior, if the magnitudes of the interconnection coefficients are large enough and at least one of the activation functions has two simple real roots.

摘要

本文致力于分析具有环形结构的 p 神经元离散时滞 Hopfield 型神经网络。找到了零解的稳定域,确定了在原点发生分叉的特征参数的值,并证明了 Fold/Cusp、Neimark-Sacker 和 Flip 分叉的存在。通过应用中心流形定理和规范型理论对这些分叉进行了分析。证明了可能存在共振 1:3 和 1:4 分叉。结果表明,随着特征参数的增大并通过分叉值,零解邻域内的动力学变得越来越复杂。如果互连系数的幅度足够大,并且至少一个激活函数具有两个简单的实根,则给出了 Marotto 混沌行为发生的理论证明。

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