Nonlinear Dynamics and Chaos in Fractional-Order Hopfield Neural Networks with Delay

被引：14
|
作者：
Huang, Xia [1 ]
Wang, Zhen [2 ]
Li, Yuxia [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Informat & Elect Engn, Shandong Key Lab Robot & Intelligent Technol, Qingdao 266590, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao 266590, Peoples R China
来源：
ADVANCES IN MATHEMATICAL PHYSICS | 2013年 / 2013卷
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
DEPENDENT ASYMPTOTIC STABILITY; HYPERCHAOS; ATTRACTORS; CRITERION; BEHAVIOR; SYSTEMS;
D O I：
10.1155/2013/657245
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
A fractional-order two-neuron Hopfield neural network with delay is proposed based on the classic well-known Hopfield neural networks, and further, the complex dynamical behaviors of such a network are investigated. A great variety of interesting dynamical phenomena, including single-periodic, multiple-periodic, and chaotic motions, are found to exist. The existence of chaotic attractors is verified by the bifurcation diagram and phase portraits as well.
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收藏
页数：9
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