Two-Layer Feedback Neural Networks with Associative Memories

被引：0
|
作者：
Wu Gui-Kun [1 ]
Zhao Hong
机构：
[1] Xiamen Univ, Dept Phys, Xiamen 361005, Peoples R China
来源：
CHINESE PHYSICS LETTERS | 2008年 / 25卷 / 11期
基金：
中国国家自然科学基金;
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：
We construct a two-layer feedback neural network by a Monte Carlo based algorithm to store memories as fixed-point attractors or as limit-cycle attractors. Special attention is focused on comparing the dynamics of the network with limit-cycle attractors and with fixed-point attractors. It is found that the former has better retrieval property than the latter. Particularly, spurious memories may be suppressed completely when the memories are stored as a long-limit cycle. Potential application of limit-cycle-attractor networks is discussed briefly.
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页码：3871 / 3874
页数：4
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