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

页码：176 / 179

页数：4

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