A Periodic Solution of Cellular Neural Networks with Delay

被引：1

作者：

朱培勇 ^{[1
]}

孙世新 ^{[2
]}

机构：

[1] School of Applied Mathematics, University of Electronic Science and Technology of China ,Chengdu 610054 China

[2] School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu 610054 China

来源：

JournalofElectronicScienceandTechnologyofChina | 2005年 / 04期

关键词：

cellular neural network; periodic solution; exponential converge; Lipschitz condition;

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is shown that there is an unique ω-period solution x (t , φ *) for a delayed cellular network and its each solution x (t , φ ) converges exponentially to x (t , φ *) if its each output function is bounded and satisfies Lipschitz condition when all input signals are ω-periodic functions.

引用

页码：360 / 363

页数：4

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