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本文从房地产投资决策、前期准备、项目建设以及租售管理四个阶段建立了房地产投资风险预警指标体系,采用BP神经网络对经过模糊处理的样本数据进行训练,得出房地产投资风险预警的BP神经网络模型。结合天津市某住宅小区项目,利用训练好的BP神经网络模型对该项目作出风险预警判断。
In this paper, real estate investment decision-making, preparation, project construction and rental management four stages of the establishment of real estate investment risk early warning indicator system, using BP neural network to deal with the fuzzy sample data to come to the risk of real estate investment in BP neural Network model. Combined with the project of a residential area in Tianjin, the trained BP neural network model is used to make a risk early warning judgment on this project.