Stability Analysis of Discrete Hopfield Neural Networks Combined with Small Ones

被引：0
|
作者：
Wu, Weigen [1 ]
Yuan, Jimin [1 ]
Li, Jun [1 ]
Tan, Qianrong [1 ]
Yin, Xing [1 ]
机构：
[1] Pan Zhi Hua Univ, Sch Comp Sci & Technol, Panzhihua 637000, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2010, PT 1, PROCEEDINGS | 2010年 / 6063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：
The stability of Discrete Hopfield neural networks (DHNNs) is very important in various applications, but stability analysis of complex DHNNs is difficult. However, stability analysis of simple and small DHNNs is easy to obtain. In this paper, we study on the stability of DHNNs combined with two small ones that maybe have partially or completely different neurons, and consider the connected weights of different neurons. And some new stability conditions of the DHNNs are obtained by studying the stability of small ones. Those results provide the guided significance for designing a DHNNs and afford benefit for stability analysis of DHNNs. The obtained results provide some theory bases of the application of DHNNs.
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收藏
页码：745 / 752
页数：8
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