Activation function of wavelet chaotic neural networks

被引：0

作者：

Xu, Yao-Qun ^{[1
]}

Sun, Ming ^{[1
]}

Guo, Meng-Shu ^{[2
]}

机构：

[1] Harbin Univ Commerce, Inst Comp & Informat Engn, Harbin 150028, Peoples R China

[2] Harbin Inst Technol, Ctr Control Theory & Guidance Technol, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, VOLS 1 AND 2 | 2006年

关键词：

chaotic neural network; activation function; wavelet function; the largest Lyapunov exponents;

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 studied the activation function of chaotic neural network, at first we review Chen's chaotic neural network and then propose a novel chaotic neural network model whose activation function is compose of sigmoid and wavelet function. Second, we make an analysis of the largest Lyapunov exponents and the reversed bifurcations of the neural units of Chen's and the proposed model. Third, 10-city traveling salesman problem (TSP) is given to make a comparison between them. Finally we conclude that the novel chaotic neural network model we propose is more valid.

引用

页码：716 / 721

页数：6

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