Credit scoring using the hybrid neural discriminant technique-Reference-Cited by-同舟云学术

Credit scoring using the hybrid neural discriminant technique

Published:2002-10 Issue:3 Volume:23 Page:245-254
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lee Tian-Shyug,Chiu Chih-Chou,Lu Chi-Jie,Chen I-Fei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference76 articles.

1. An introduction to multivariate statistical analysis;Anderson,1984

2. Neurocomputing: Foundations of research;Anderson,1988

3. Analyzing credit risk data: A comparison of logistic discriminant classification tree analysis and feedforward networks;Arminger;Computational Statistics,1997

4. Detecting the risk of company failure at the Banque de France;Bardos;Journal of Banking and Finance,1998

5. The farmers home administration and farm debt failure prediction;Barney;Journal of Accounting and Public Policy,1999

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