Stability Analysis of Discrete Hopfield Neural Networks with Weight Function Matrix

被引：0
|
作者：
Li, Jun [1 ]
Diao, Yongfeng [1 ]
Mao, Jiali [1 ]
Zhang, Ying [1 ]
Yin, Xing [2 ]
机构：
[1] China West Normal Univ, Sch Comp Sci, Nanchong 637002, Peoples R China
[2] Pan Zhi Hua Univ, Sch Comp Sci, Panzhihua 637000, Peoples R China
来源：
ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS | 2008年 / 5370卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Most matrixes of Discrete Hopfield neural networks(DHNNs) and DHNNs with delay are constant matrixes. However, most weight matrixes of DHNNses are variable in many realistic systems. So. the weight matrix and the threshold vector with time factor are considered, and DHNNs with weight function matrix (DHNNWFM) is described. Moreover. the result that if weight function matrix and threshold function vector respectively converge to a constant matrix and a constant vector that the corresponding DHNNs is stable or the weight matrix function is it symmetric function matrix, then DHNNWFM is stable, is obtained by matrix analysis.
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页码：760 / +
页数：3
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