Estimation of the domain of attraction and the convergence rate of a Hopfield associative memory and an application

被引：28

作者：

Cao, JD ^{[1
]}

Tao, Q

机构：

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

[2] Yunnan Univ, Adult Educ Coll, Kunming 650091, Peoples R China

[3] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China

[4] Acad Sinica, Hefei Inst Intelligent Machines, Hefei 230031, Peoples R China

来源：

JOURNAL OF COMPUTER AND SYSTEM SCIENCES | 2000年 / 60卷 / 01期

关键词：

Lyapunov method; Hopfield continuous feedback neural network; associative memory; domain of attraction; exponential convergence rate;

D O I：

10.1006/jcss.1999.1679

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the domain of attraction of memory patterns and the exponential convergence rate of the network trajectories to memory patterns for Hopfield continuous associative memory are estimated. These results can be used for the evaluation of fault-tolerance capability and the synthesis procedures for Hopfield continuous feedback associative memory neural networks and they are easy to check and apply in practice. (C) 2000 Academic Press.

引用

页码：179 / 186

页数：8

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