Research On Financial Risk Early Warning Of Real Estate Enterprises Based On Deep Learning

The real estate industry is a highly related industry.Its prosperity or decline is directly related to the development of the national economy.A series of real estate regulation policies issued by the state since 2013 have cooled the "overheated" real estate market,which has led to the tight capital chain of high investment and high risk real estate enterprises.The financial situation of some real estate enterprises has deteriorated rapidly,and the financial crisis is on the spot.The degree of financial risk of real estate enterprises is also closely related to the changes of national policy and industry environment.The changes of national policy and industry environment are linked to various financial elements of real estate enterprises,which lead to the fluctuation of financial situation and lead to the emergence of financial risk.At present,many methods have been applied to the financial risk early warning of real estate enterprises,such as multiple linear model and BP neural network.These methods have some shortcomings,such as lack of pertinence,practicality,regularity and machine rationality,while deep learning has a more significant effect on the characterization of complex functions,but it has not yet been made.Deep learning is applied to real estate enterprises' financial risk early warning cases.Therefore,this paper applies deep learning to early warning of financial risks in real estate enterprises.The main work is as follows:(1)Elaborated the research background,the significance and the domestic and foreign research present situation.(2)Introduces the concept of financial risk,the factors that affect the financial risk of real estate enterprises and the concept of deep learning.(3)Deep learning is applied to early warning and analysis of financial risks of real estate enterprises.In this part,the selected sample index data are divided into two parts:training set and test set,which are used to train and test the deep learning model of financial risk early warning in real estate enterprises.The results show that the financial risk early-warning of the 2016-2017year related financial indicators of China Airlines real estate is carried out by using the built model.The results show that the financial risks are all in accordance with the actual situation in the two years.(4)Put forward measures and suggestions for financial early-warning of real estate to prevent financial crisis.