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.

引用

页码：3871 / 3874

页数：4

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