Research On Risk Assessment Of Real Estate Investment Based On The Improvement PSO-BP

The real estate development is a high input, high-yield, high-risk investmentactivity which is affected by many uncertain factors, especially facing the currentsituation of China’s real estate macro-control efforts to increase investors. It will makegreater blindness if only relies on invest experience, which will also inevitablyincrease the risk of real estate investment. Thus, scientific and reasonable real estateinvestment risk evaluation system is imminent; the application of scientific methodsto evaluate the real estate investment risk makes a great value in theory and practice.Firstly, the theory of the real estate investment risk is summarized, the real estateinvestment risk factors is analyzed in detail from various stages of the real estateinvestment, and establish the real estate investment risk assessment system; Thenelaborated related theories of based on improved PSO-BP neural network. ImprovedPSO-BP real estate investment risk evaluation model is established; through trainingand testing it verifies the improved PSO-BP model evaluation is better than traditionalmethods, the model is applied to actual cases of real estate investment risk evaluation,and can draw effective evaluation results.Faced with the defects of BP neural network, this paper uses improved PSO-BPneural network in the situation that BP neural network only need on the basis of itclose to the optimal solution. It also makes network optimization accuracy and speedimprove effectively, and makes the real estate investment risk evaluation better.Combined with actual cases of real estate investment in Tianjin, the application ofimproved PSO-BP neural network in real estate investment risk evaluation is to befocus discussed. It has practical significance to improve the decision-making level ofthe real estate investment enterprises in China as well as the relevant decision-makingdepartments.