The Community for Technology Leaders
Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 288-292
ABSTRACT
The assessment of credit risk of real-estate of Chinese banks has become a hot point nowadays. The daily ripening neural network technique has opened up a new idea for experts in fields of bank credit and credit evaluation. In this paper, BP-neural network technique is used in the evaluation of credit risk of real-estate in Chinese banks, and then tested with samples of listed real estate agencies. Results show that BP-neural network technique has superiority over other traditional models in quantizing and classifying gross risk of real estate agencies.
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CITATION

G. Wei, C. Meiyan and Z. Jianfeng, "Study on Chinese Banks of Credit Risk Evaluation Models of Real-Estate Based on the BP-Neural Network Model," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 288-292.
doi:10.1109/CSIE.2009.1080
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