Study on Chinese Banks of Credit Risk Evaluation Models of Real-Estate Based on the BP-Neural Network Model

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.