DocumentCode :
3049692
Title :
Bank credit risk management early warning and decision-making based on BP neural networks
Author :
Yu, Zhi-yuan ; Zhao, Shu-Fang
Author_Institution :
Dept. of Econ. & Law, Taiyuan Inst. of Technol., Taiyuan, China
Volume :
2
fYear :
2011
fDate :
9-11 Dec. 2011
Firstpage :
528
Lastpage :
532
Abstract :
Credit risk management, which is the basic of the credit application, is the most perfect embodiment in the bank credit application and asset supervision. The ultimate purpose of credit risk management is to ensure that credit fund is of safety, profitability and fluidity. At present, it is extremely important of commercial banks to set up an early bank risk warning system. The author who makes great effort on the credit risk and its reason, besides bringing in the western commercial banks experience of bank credit risk management, makes researches on credit risk in a microcosmic view. The author sets up early warning indicators for commercial bank credit risk, and carries out the warning for the credit risk in advance with the help of artificial neural networks. The experiment has proved that this method is objective and effective. So it can provide theoretical basis, which is more scientific and credible for detection and early warning about commercial bank credit risk.
Keywords :
backpropagation; banking; credit transactions; neural nets; risk management; BP neural networks; artificial neural networks; asset supervision; bank credit risk management; commercial banks; decision-making; early bank risk warning system; Decision making; BP neural networks; Credit risk; Early warning; decision-making;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
Type :
conf
DOI :
10.1109/ITiME.2011.6132165
Filename :
6132165
Link To Document :
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