Dynamic properties of cellular neural networks with nonlinear output function

被引：4
|
作者：
Slavova, A [1 ]
机构：
[1] Univ Min & Geol, Dept Math, Sofia 1100, Bulgaria
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 1998年 / 45卷 / 05期
关键词：
bifurcations; cellular neural networks; hysteresis; limit cycles;
D O I：
10.1109/81.668874
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Cellular neural networks are a novel class of information-processing systems which have architecture similar to neural networks. In this short paper, we consider a nonlinear cellular neural network where the nonlinearity in the feedback circuit is allowed to exhibit hysteresis. Stability analysis of the equilibrium points for such a network is made. Hopf-like bifurcations are proved for an example of a two-cell autonomous cellular neural network.
引用
收藏
页码：587 / 590
页数：4
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