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	Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach.
	Zhu, You; Zhou, Li; Xie, Chi; Wang, Gang-Jin; Nguyen, Truong V
刊名	International Journal of Production Economics
	2019
卷号	Vol.211页码:22-33
关键词	Credit risk forecasting Machine learning Partial dependency plot RS-MultiBoosting Small and medium-sized enterprises Supply chain finance
ISSN号	0925-5273
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4609741
专题	湖南大学
作者单位	1.College of Business Administration, Hunan University, Changsha 410082, China 2.Business School, University of Greenwich, London, Greenwich, SE10 9LS, UK 3.Center of Finance and Investment Management, Hunan University, Changsha 410082, China 4.Center for Polymer Studies and Department of Physics, Boston University, Boston, MA 02215, USA
推荐引用方式 GB/T 7714	Zhu, You,Zhou, Li,Xie, Chi,et al. Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach.[J]. International Journal of Production Economics,2019,Vol.211:22-33.
APA	Zhu, You,Zhou, Li,Xie, Chi,Wang, Gang-Jin,&Nguyen, Truong V.(2019).Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach..International Journal of Production Economics,Vol.211,22-33.
MLA	Zhu, You,et al."Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach.".International Journal of Production Economics Vol.211(2019):22-33.

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