A DATA MINING METHOD BASED ON CONSTRUCTIVE NEURAL NETWORKS

被引：4

作者：

Wang Lunwen Zhang Ling *(309 Research Division

机构：

来源：

Journal of Electronics(China) | 2007年 / 01期

基金：

中国国家自然科学基金;

关键词：

Data mining; Neural networks; Constructive Neural Networks (CNN); Wireless monitoring;

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算];

学科分类号：

摘要：

In this letter,Constructive Neural Networks (CNN) is used in large-scale data mining. By introducing the principle and characteristics of CNN and pointing out its deficiencies,fuzzy theory is adopted to improve the covering algorithms. The threshold of covering algorithms is redefined. "Extended area" for test samples is built. The inference of the outlier is eliminated. Furthermore,"Sphere Neighborhood (SN)" are constructed. The membership functions of test samples are given and all of the test samples are determined accordingly. The method is used to mine large wireless monitor data (about 3×107 data points),and knowledge is found effectively.

引用

页码：133 / 137

页数：5

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