An estimation of the domain of attraction and convergence rate for Hopfield continuous feedback neural networks

被引：58

作者：

Cao, JD ^{[1
]}

机构：

[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China

来源：

PHYSICS LETTERS A | 2004年 / 325卷 / 5-6期

基金：

中国国家自然科学基金;

关键词：

Hopfield neural network; memory patterns; matrix measure; comparison principle; domain of attraction; exponential convergence rate;

D O I：

10.1016/j.physleta.2004.04.009

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this Letter, the domain of attraction of memory patterns and exponential convergence rate of the network trajectories to memory patterns for Hopfield continuous associative memory are estimated by means of matrix measure and comparison principle. A new estimation is given for the domain of attraction of memory patterns and exponential convergence rate. These results can be used for the evaluation of fault-tolerance capability and the synthesis procedures for Hopfield continuous feedback associative memory neural networks. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：370 / 374

页数：5

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