MAXIMUM PERIOD OF 2-DIMENSIONAL UNIFORM NEURAL NETWORKS

被引:11
作者
SHINGAI, R
机构
[1] Department of Information Science, Fukui University, Fukui
来源
INFORMATION AND CONTROL | 1979年 / 41卷 / 03期
关键词
D O I
10.1016/S0019-9958(79)90610-7
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The maximum periods of transitions of 2-dimensional uniform neural networks with Neumann neighbors are investigated. As for excitatory neural networks, the maximum period is finite in case that the refractory period is 1 or 3, but the refractory periods realizing unbounded period of transitions range from 2 to infinity which are different from the case of 1-dimensional networks. Results are obtained by constructing periodic configurations directly. © 1979 Academic Press, Inc.
引用
收藏
页码:324 / 341
页数:18
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