%0 Journal Article
%T 基于深度学习的房地产企业财务风险预警<br>Financial Risk Early Warning of Real Estate Enterprises Based on Deep Learning
%A 席甜甜
%J Finance
%P 211-216
%@ 2161-0975
%D 2019
%I Hans Publishing
%R 10.12677/FIN.2019.93025
%X <div style=\"text-align:justify;\">
	<span style=\"line-height:1.5;\">房地产行业与国民经济发展息息相关，所以对其进行财务风险预警有着重要现实意义。已有很多方法用于企业财务风险预警，但这些方法均存在一定不足，且至今尚未见到将深度学习用于房地产企业财务风险预警的案例，因此建立了基于深度学习的房地产企业财务风险预警模型，并以中航地产为例具体分析，结果表明：通过所构建模型对其2016~2017年的财务风险进行预警，显示均具有财务风险，与实际情况相符。<br />
The real estate industry is closely related to the development of the national economy, so it is of great significance to carry out financial risk warning. There are many methods for the financial risk warning of real estate enterprises, and these methods have certain shortcomings. So far, there is no case of deep learning for the financial risk early warning of real estate enterprises. Therefore, this paper establishes a financial risk early warning model based on deep learning, and takes AVIC real estate as an example for specific analysis. The results show that it is constructed by the model. Early warning of financial risks in 2016-2017 shows that they all have financial risks, which is in line with the actual situation.</span><span style=\"line-height:1.5;\"></span> 
</div>
%K 深度学习，房地产，财务预警<br>Deep Learning
%K Real Estate
%K Financial Risk Warning
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=30260