Research of Algorithm Based on Improved Self-Organization Neural Network of Fuzzy Clustering

被引：0
|
作者：
Zhang, Xu [1 ]
Duan, LongZhen [1 ]
Zhan, Yunqiao [1 ]
Wang, Guifeng [1 ]
机构：
[1] Nanchang Univ, Dept Comp Sci & Technol, Nanchang, Peoples R China
来源：
ADVANCES IN ELECTRICAL ENGINEERING AND AUTOMATION | 2012年 / 139卷
关键词：
Web log mining; Fuzzy clustering; SOFM neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper introduced an improved fuzzy SOFM clustering algorithm. In the initialization phase, by the way of subtractive clustering, optimized initial weights of network and determined the number of clusters. To verify the effectiveness of the algorithm, this algorithm will be applied to web log mining. Experimental results showed that the improved fuzzy SOFM neural network training speed and convergence results have improved to some extent, and for a variety of users interested in mining provides a feasible approach.
引用
收藏
页码：191 / 197
页数：7
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