An enhanced fuzzy neural network

被引：0
|
作者：
Kim, KB
Joo, YH
Cho, JH
机构：
[1] Kunsan Natl Univ, Sch Elect & Informat Engn, Kunsan, South Korea
[2] Catholic Univ Pusan, Dept Comp Informat, Pusan, South Korea
来源：
PARALLEL AND DISTRIBUTED COMPUTING: APPLICATIONS AND TECHNOLOGIES, PROCEEDINGS | 2004年 / 3320卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we propose a novel approach for evolving the architecture of a multi-layer neural network. Our method uses combined ART1 algorithm and Max-Min neural network to self-generate nodes in the hidden layer. We have applied the proposed method to the problem of recognizing ID number in identity cards. Experimental results with a real database show that the proposed method has better performance than a conventional neural network.
引用
收藏
页码：176 / 179
页数：4
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