Real estate industry is the foundation industry of national economy. The sustainable development of real estate market has important meanings to the sustainable development of national economy. Recently, rapidly developed real estate market and overheated investments, which lead to the real estate enterprises facing more and more investment risk during their development. Meanwhile, national macro-control efforts have been gradually strengthened, which increase the uncertainty of real estate investment environment. Therefore, evaluating the risk scientifically is becoming more and more significant problem during the real estate investment.Based on investigating domestic and overseas situation and the existing problems, this paper analyzes the factors that influences the real estate enterprises investment risk combining with the current condition of a certain city, and builds the relative evaluation index system of real estate enterprises investment risk; The ant colony neural network evaluation model is used to evaluate the investment risk of the city, the relative data collected is used to train the model, and the ant colony neural network evaluation model suitable for the city’s real estate enterprises investment risk is built, and the relation between risk index and project risk level is got. The experiment results show that it is feasible and effective using the model to forecast the real estate investment risk.
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