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2009 WRI World Congress on Computer Science and Information Engineering
Study on Chinese Banks of Credit Risk Evaluation Models of Real-Estate Based on the BP-Neural Network Model
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Citation:
Guo Wei, Cao Meiyan, Zheng Jianfeng, "Study on Chinese Banks of Credit Risk Evaluation Models of Real-Estate Based on the BP-Neural Network Model," csie, vol. 2, pp.288-292, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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