DocumentCode
3417189
Title
Credit Risk Evaluation Based on Artificial Intelligence Technology
Author
Ma, Haiying ; Guo, Yu
Author_Institution
Dept. of Manage. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
Volume
1
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
200
Lastpage
203
Abstract
Credit risk is one the most important and oldest risk forms in financial market. It has many problems in credit risk analysis and management system of our commercial bank compared with developed country. Therefore, based on the AI, the text illustrates credit risk evaluation method and gets result by combining risk quantitative analysis by ART2 (adaptive resonance theory) model, and qualitative analysis through expert system. At last, the text shows result of demonstration analysis.
Keywords
artificial intelligence; banking; expert systems; financial management; neural nets; risk analysis; ART2; adaptive resonance theory model; artificial intelligence technology; commercial bank; credit risk evaluation; expert system; financial market; neural network; qualitative analysis; risk quantitative analysis; Analytical models; Expert systems; Indexes; Risk analysis; Subspace constraints; AI; credit risk; expert system; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.48
Filename
5656625
Link To Document