On Risk Assessment of Real Estate Project Based on BP Neural Network

Qian Meng · Keizai keizai · 2009

When facing the temptation of high profit,real estate enterprise must assess risks scientifically since American subprime crisis broke out especially.Risk management is important to deal with the low trading volume of real estate and the decrease of house price.The risk evaluation model based on BP neural network is more suitable for risk evaluation of real estate project.It can improve the accuracy of risk evaluation of real estate project,exclude subjective factors to provide scientific evidence for real estate investment,and help real estate enterprises avoid risks effectively.

Read the paper · More papers on PaperTik