Chaotic diagonal recurrent neural network

被引：3

作者：

Wang Xing-Yuan ^{[1
]}

Zhang Yi ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116024, Peoples R China

来源：

CHINESE PHYSICS B | 2012年 / 21卷 / 03期

基金：

中国国家自然科学基金;

关键词：

diagonal recurrent neural network; chaos; cubic symmetry map;

D O I：

10.1088/1674-1056/21/3/038703

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We propose a novel neural network based on a diagonal recurrent neural network and chaos, and its structure and learning algorithm are designed. The multilayer feedforward neural network, diagonal recurrent neural network, and chaotic diagonal recurrent neural network are used to approach the cubic symmetry map. The simulation results show that the approximation capability of the chaotic diagonal recurrent neural network is better than the other two neural networks.

引用

页数：5

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