Chaotic attractors in delayed neural networks

被引：318

作者：

Lu, HT ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200030, Peoples R China

来源：

PHYSICS LETTERS A | 2002年 / 298卷 / 2-3期

基金：

中国国家自然科学基金;

关键词：

chaos; neural networks; delay; bifurcation;

D O I：

10.1016/S0375-9601(02)00538-8

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This Letter investigates the complex dynamical behavior of delayed neural networks with two neurons with the help of computer simulations. It has been shown that such networks may exhibit chaotic dynamics undergoing a period-doubling bifurcation process. In some parameter domains, interesting phenomena of coexistence of periodic orbits and chaotic attractors have been observed. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：109 / 116

页数：8

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