Role of Self-Coupling in Dynamics of Diluted Hopfield Neural Networks
HU Bei-lai1 , ZHANG Yan-xin2
1 Department of Physics, 2 Institute of Modern Optics, Nankai University, Tianjin 300071
Role of Self-Coupling in Dynamics of Diluted Hopfield Neural Networks
HU Bei-lai1 ;ZHANG Yan-xin2
1 Department of Physics, 2 Institute of Modern Optics, Nankai University, Tianjin 300071
关键词 :
05.20.-y ,
05.90.+m
Abstract : The dynamical equation of diluted Hopfield neural networks with self-couplings is calculated by analytical approach. The presented results show that the self-coupling strongly influences the dynamical behavior of the network, making the critical loading value αc smaller remarkably and the size of basin of attraction decrease.
Key words :
05.20.-y
05.90.+m
出版日期: 1996-01-01
:
05.20.-y
(Classical statistical mechanics)
05.90.+m
(Other topics in statistical physics, thermodynamics, and nonlinear dynamical systems)
引用本文:
HU Bei-lai;ZHANG Yan-xin. Role of Self-Coupling in Dynamics of Diluted Hopfield Neural Networks[J]. 中国物理快报, 1996, 13(1): 1-4.
HU Bei-lai, ZHANG Yan-xin. Role of Self-Coupling in Dynamics of Diluted Hopfield Neural Networks. Chin. Phys. Lett., 1996, 13(1): 1-4.
链接本文:
https://cpl.iphy.ac.cn/CN/
或
https://cpl.iphy.ac.cn/CN/Y1996/V13/I1/1
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