Dynamics of general neural networks with distributed delays

被引：0
|
作者：
Sun, Changyin [1 ]
Li, Linfeng
机构：
[1] Hohai Univ, Coll Elect Engn, Nanjing 210098, Peoples R China
[2] Southeast Univ, Res Inst Automat, Nanjing 210096, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1 | 2006年 / 3971卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper introduces a general class of neural networks with periodic inputs. By constructing a Lyapunov functional and the Halanay-type inequality separately, we obtain easily verifiable sufficient conditions ensuring that every solutions of the delayed neural networks converge exponentially to the unique periodic solutions. The results obtained can be regarded as a generalization to the discrete case of previous results.
引用
收藏
页码：135 / 140
页数：6
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