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	Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
	You Zhu; Li Zhou; Chi Xie; Gang-Jin Wang; Truong V. Nguyen
刊名	International Journal of Production Economics
	2019
卷号	Vol.211页码:22-33
关键词	Supply chain finance Small and medium-sized enterprises Credit risk forecasting Machine learning RS-MultiBoosting Partial dependency plot
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/4616727
专题	湖南大学
作者单位	1.b Business School, University of Greenwich, London, Greenwich, SE10 9LS, UK a College of Business Administration, Hunan University, Changsha 410082, China 2.Center for Polymer Studies and Department of Physics, Boston University, Boston, MA 02215, USA 3.Center of Finance and Investment Management, Hunan University, Changsha 410082, China
推荐引用方式 GB/T 7714	You Zhu,Li Zhou,Chi Xie,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	You Zhu,Li Zhou,Chi Xie,Gang-Jin Wang,&Truong V. Nguyen.(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	You Zhu,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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