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Combining forecasts of personal credit scoring based on RBF neural network

  • Hangzhou Dianzi University
  • School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 26th Chinese Control Conference, CCC 2007
Pages250-252
Number of pages3
DOIs
StatePublished - 2007
Externally publishedYes
Event26th Chinese Control Conference, CCC 2007 - Zhangjiajie, China
Duration: 26 Jul 200731 Jul 2007

Publication series

NameProceedings of the 26th Chinese Control Conference, CCC 2007

Conference

Conference26th Chinese Control Conference, CCC 2007
Country/TerritoryChina
CityZhangjiajie
Period26/07/0731/07/07

Keywords

  • Combining forecast
  • Logistic regression
  • Multi-linear regression
  • Personal credit scoring

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