Referenced Items are not available for this document.
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.
Published in:
Computer Science and Information Engineering, 2009 WRI World Congress on
(Volume:2
)
Date of Conference: March 31 2009-April 2 2009
- Page(s):
- 288 - 292
- Print ISBN:
- 978-0-7695-3507-4
- INSPEC Accession Number:
- 10794390
- Conference Location :
- Los Angeles, CA
- Digital Object Identifier :
- 10.1109/CSIE.2009.1080
- Product Type:
- Conference Publications
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