Web document classification technique based on the adaptive neural network

被引：0

作者：

Lei, Jingsheng ^{[1
]}

Zhong, Sheng ^{[1
]}

机构：

[1] Coll. of Info. Sci. and Technol., Hainan Univ., No.58 Remin Road, Haikou 570022, China

来源：

Journal of Information and Computational Science | 2004年 / 1卷 / 03期

关键词：

Adaptive control systems - Fuzzy control - Internet - Learning algorithms - Neural networks - World Wide Web;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A Web document classification algorithm based on the adaptive neural network is proposed. It combines the advantages of both adaptive resonance theory and field theory resulting in fast learning speed, strong generality, and high efficiency. The experimental results show that our approach yields higher classification accuracy compared to the vector space mode.

引用

页码：135 / 139

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