A periodic chaos neural network

被引：0
|
作者：
Nakagawa, M [1 ]
机构：
[1] Nagaoka Univ Technol, Fac Engn, Dept Elect Engn, Nagaoka, Niigata 94021, Japan
来源：
ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3 | 1998年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work we shall propose a simple chaos neural network applied to an autonomous chaotic memory searching and to the autoassociation model. The present artificial neuron model is properly characterized in terms of a sinusoidal activation function to involve a chaotic dynamics as well as an autonomous control of the periodicity. It is elucidated that present neural network has an ability of the dynamic memory retrievals beyond the conventional chaotic model with such a monotonous mapping as a sigmoid function.
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收藏
页码：526 / 529
页数：4
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