DocumentCode :
1638089
Title :
Combining Forecasts of Personal Credit Scoring Based on RBF Neural Network
Author :
Yufang, Chen ; Minghui, Jiang
Author_Institution :
Hangzhou Dianzi Univ., Hangzhou
fYear :
2007
Firstpage :
250
Lastpage :
252
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.
Keywords :
finance; logistics; radial basis function networks; regression analysis; RBF neural network; combining forecasts; logistic; multilinear regression; personal credit scoring; Artificial intelligence; Artificial neural networks; Classification tree analysis; Economic forecasting; Linear regression; Logistics; Neural networks; Radial basis function networks; Statistics; Technology management; Combining Forecast; Logistic Regression; Multi-linear Regression; Personal Credit Scoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4346789
Filename :
4346789
Link To Document :
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