id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-331885-8zmuhebu	Xu, Xiuyan	Risk factor analysis combined with deep learning in the risk assessment of overseas investment of enterprises	2020-10-02		.txt	text/plain	3796	208	43	To evaluate the overseas investment risks of enterprises and expand the application and development of deep learning methods in risk assessment, 15 national clusters are utilized as samples to analyze and discuss the overseas investment risk indicators of enterprises. Second, the Deep Neural Network (DNN) is introduced; a risk evaluation model is constructed for enterprise overseas investment. The results show that the major source of overseas investment risks includes basic resources, political systems, economic and financial development, and environmental protection. To build a risk assessment model for overseas investment of enterprises and evaluate investment risks scientifically and effectively, the Deep Neural Network (DNN) based on deep learning is introduced, which is an innovation. The above analysis suggests that a country's infrastructure, health care conditions, economic development level, environmental protection conditions, and political system are the key components that affect its risks of enterprise overseas investment [29, 30] .	./cache/cord-331885-8zmuhebu.txt	./txt/cord-331885-8zmuhebu.txt