Stability of Hopfield neural networks with time delays and variable-time impulses

被引：0
|
作者：
Chao Liu
Chuandong Li
Tingwen Huang
Chaojie Li
机构：
[1] Chongqing University,College of Computer
[2] Texas A&M University at Qatar,undefined
来源：
Neural Computing and Applications | 2013年 / 22卷
关键词：
Hopfield neural network (HNN); Time delays; Variable-time impulse; Stability;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The stability of Hopfield neural networks with fixed-time impulses has been intensively investigated in recent years. However, few existing publications addressed the stability of delayed neural networks with variable-time impulses. In this paper, we consider the case of variable-time impulses and attempt to establish the general stability criteria. It shows that the proposed results can also be applied to the case of fixed-time impulses, which provide a new stability condition for the case of fixed-time impulses. To illustrate the effectiveness of our theoretical results, numerical examples and simulations are also presented.
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页码：195 / 202
页数：7
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