Stability analysis of a discrete Hopfield neural network with delay

被引：5
|
作者：
Tsang, Eric C. C. [1 ]
Qiu, S. S. [1 ]
Yeung, Daniel S. [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China
来源：
NEUROCOMPUTING | 2007年 / 70卷 / 13-15期
关键词：
stability analysis; discrete Hopfield neural network;
D O I：
10.1016/j.neucom.2006.12.003
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This letter investigates convergence theorems of a DHNN with delay. We present one generalized updating rule for serial mode. The condition for convergence of a DHNN without delay can be relaxed from a symmetric matrix to a quasi-symmetric matrix. One application is presented to demonstrate the higher convergence speed of our algorithm. (C) 2007 Published by Elsevier B.V.
引用
收藏
页码：2598 / 2602
页数：5
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