Combining forecasts of personal credit scoring based on RBF neural network

被引：0
|
作者：
Chen Yufang [1 ]
Jiang Minghui [2 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Software Vocat Technol, Hangzhou 310012, Zhejiang, Peoples R China
[2] Harbin Inst Technol, Sch Management, Harbin 150001, Heilongjiang, Peoples R China
来源：
PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 4 | 2007年
关键词：
combining forecast; multi-linear regression; logistic regression; personal credit scoring;
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：
With the idea of combining forecasts, this paper presents a new approach by combining multi-linear regression and logistic with RBF network, and applies it in the area of personal credit scoring. The results indicate that the new technique is more accurate than either of the individual technique, especially in avoiding recognizing the bad applicants as good ones.
引用
收藏
页码：250 / +
页数：2
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