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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1638089