Existence of Periodic Solution for Hopfield Cellular Neural Networks

被引:0
|
作者
Li, Yanling [1 ,2 ]
Liu, Anping [1 ]
Zhang, Linli [1 ]
Hao, Zutao [1 ]
机构
[1] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Hubei, Peoples R China
[2] Civil Aviat Flight Univ China, Coll Comp Sci, Sichuan 618307, Peoples R China
基金
中国国家自然科学基金;
关键词
BOUNDARY-VALUE-PROBLEMS; GLOBAL EXPONENTIAL STABILITY; IMPULSIVE INTEGRODIFFERENTIAL EQUATIONS; FUNCTIONAL-DIFFERENTIAL EQUATIONS; 1ST-ORDER; DELAYS;
D O I
10.1109/GCIS.2009.134
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As an important tool to study practical problems of biology, engineering and image processing, the cellular neural networks (CNNs) has caused more and more attention. Some interesting results about the existence for cellular neural networks have been obtained. In this paper, by means of iterative analysis, the existence of periodic solution for Hopfield cellular neural networks are considered. Some new results are obtained.
引用
收藏
页码:76 / +
页数:2
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