会议专题

Study on the Risk Assessment of Real Estate Project Based on BP Neural Network

As known,real estate investment has many distinguish features:heavy invest,long recovery and high yield etc.So when facing the temptation of high yield,real estate enterprise has to assess risks scientifically.Especially since American subprime crisis broke out,trading volumes of real estate keep shrinking and house prices keep dropping.In this situation,risk management is particularly important.The risk assessment model based on BP neural network is more suitable for risk assessment of real estate project.It can also improve its accuracy and exclude subjective factors.Thus it can offer scientific basis for real estate investment decision,and help real estate enterprises avoid risks effectively.The paper uses the theory of BP neutral network to analyze the investment risk of real estate and its changing discipline,which have important practical meaning for the development of real estate enterprise.

real estate risk assessment BP neural network

ZHANG Xuefang JI Wei

School of Economics and Management Huangshi Institution of Technology HuBei,China School of F.conomics and Management Huangshi Institution of Technology HuBei,China

国际会议

2010 2nd IEEE International Conference on Information and Financial Engineering(2010年第二届IEEE信息与金融工程国际会议 ICIFE 2010)

重庆

英文

535-537

2010-09-17(万方平台首次上网日期,不代表论文的发表时间)