Self-organization in a spin model of chaos neural network

被引：0
|
作者：
Tanaka, T [1 ]
Inoue, M
Fujisaka, H
机构：
[1] Hiroshima Prefectural Univ, Dept Informat Sci, Hiroshima 7270023, Japan
[2] Kagoshima Univ, Dept Phys, Kagoshima 8900084, Japan
[3] Kyoto Univ, Grad Sch Informat, Dept Appl Anal & Complex Dynam Syst, Kyoto 6068501, Japan
来源：
PROGRESS OF THEORETICAL PHYSICS SUPPLEMENT | 2000年 / 138期
关键词：
D O I：
暂无
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
A self-organization model of the Ising spin system is studied in a chaos neural network. The time developments of energies and magnetizations of the spin system are calculated to characterize the dynamics of this model. It is seen that if the control parameters of the chaos neuron are chosen properly, the system can reach a stable patten which corresponds to the global minimum.
引用
收藏
页码：598 / 599
页数：2
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