Modification of BP neural network algorithm and its application in data mining

被引：0
|
作者：
Chen, LC [1 ]
Liu, YS [1 ]
Tian, R [1 ]
Yang, GS [1 ]
机构：
[1] N China Inst Technol, Dept Comp Sci & Technol, Taiyuan 030051, Peoples R China
来源：
ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS | 2003年
关键词：
neural network; BP algorithm; learning efficiency; data mining;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
By introducing a flabby amendatory factor, in the original weight iterative formula, a modified BP neural network algorithm is put forward in this paper. Based on the modified arithmetic, an application model of neural network in data mining is established. According to the model, the data mining of the continuous and no-text fields is implemented. The results of the algorithm experiment show that the modified algorithm has the obvious characteristics of high precision and fewer numbers of learning, resulting in the great improvement of the learning efficiency.
引用
收藏
页码：948 / 952
页数：5
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