Chaos in a three dimensional neural network

被引：37
|
作者：
Das, A [1 ]
Roy, AB [1 ]
Das, P [1 ]
机构：
[1] Jadavpur Univ, Dept Math, Biomaths Div, Calcutta 700032, W Bengal, India
来源：
APPLIED MATHEMATICAL MODELLING | 2000年 / 24卷 / 07期
关键词：
bifurcation; Lyapunov exponent; chaos; controls;
D O I：
10.1016/S0307-904X(99)00046-3
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An artificial neural network (ANN) consisting of three neurons has been considered. The equations of control are given by three differential equations (DE) with nonlinear, positive and bounded response functions of the neurons. Bifurcation diagram and three dimensional (3-D) phase portraits of the model show rich dynamics. With the change in synaptic weight and decay rate, the system passes from stable to periodic and then chaotic regimes. Interestingly, the system returns to periodic regime by further changing the synaptic weight. Computer code to calculate the Lyapunov exponent (LE) has been written to confirm chaos. (C) 2000 Elsevier Science Inc. All rights reserved.
引用
收藏
页码：511 / 522
页数：12
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