An improved delay feedback control method in a chaotic neural network

被引：0
|
作者：
He, GG [1 ]
Zhu, P [1 ]
Chen, HP [1 ]
Cao, ZT [1 ]
Kuroiwa, J [1 ]
Ogura, H [1 ]
机构：
[1] Zhejiang Univ, Dept Phys, Hangzhou 310027, Peoples R China
来源：
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年
关键词：
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 paper, we proposed an improved delay feedback control method (IDFC) for a chaotic neural network. In the method, a delay feedback control signal is added into the term of the refractoriness of the chaotic neuron to resist the chaos in the chaotic neural network. The computer experiments show that the output sequence of the controlled chaotic neural network become periodic. The controlling chaos in a chaotic neural network is therefore implemented. When control parameters K and tau are taken as 1.3 and 1 respectively, the outputs of the network is periodic-16.
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收藏
页码：533 / 536
页数：4
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