A neural network model composed of two-state and three-state neurons

被引：0
|
作者：
Y. Nakamura
A.R. Ferchmin
机构：
[1] School of Informatics and Sciences,
[2] Nagoya University,undefined
[3] Nagoya,undefined
[4] 464-8601,undefined
[5] Japan,undefined
[6] Institute of Molecular Physics,undefined
[7] Polish Academy of Sciences,undefined
[8] ul. Smoluchowskiego 17,undefined
[9] 60-179 Poznan,undefined
[10] Poland,undefined
来源：
The European Physical Journal B - Condensed Matter and Complex Systems | 2000年 / 13卷
关键词：
PACS. 05.45.-a Nonlinear dynamics and nonlinear dynamical systems - 87.80.Xa Neural engineering;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A neural network model composed of two-state (1 and -1) and three-state (1, 0 and -1) neurons is proposed. The two-state neurons are connected with the three-state ones only and vice versa. We derive dynamic equations for the model under the assumption of non-symmetrical dilution of connections. A zero-noise phase diagram is obtained and a region in which two fixed point solutions can coexist is found. Basins of attraction for the solutions are also investigated.
引用
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页码：305 / 312
页数：7
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