Global almost sure self-synchronization of Hopfield neural networks with randomly switching connections

被引：34
|
作者：
Liu Bo [1 ]
Lu Wenlian [1 ]
Chen Tianping [1 ]
机构：
[1] Fudan Univ, Inst Math, Lab Nonlinear Math Sci, Shanghai 200433, Peoples R China
来源：
NEURAL NETWORKS | 2011年 / 24卷 / 03期
基金：
美国国家科学基金会;
关键词：
Neural networks; Stability; Synchronization; Global exponential convergence; Almost sure convergence; EXPONENTIAL STABILITY; TIME DELAYS;
D O I：
10.1016/j.neunet.2010.12.005
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we discuss Hopfield neural networks with stochastic switching weights, investigating their global almost sure self-synchronization. Sufficient conditions ensuring global almost sure exponential synchronization of Hopfield neural networks with stochastic switching weights are given. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：305 / 310
页数：6
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