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	Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance
	Zhu, Y; Xie, C; Wang, GJ; Yan, XG
刊名	Neural Computing and Applications
	2017
卷号	Vol.28 No.1Suppl页码:41-50
关键词	Supply chain finance Credit risk Small- and medium-sized enterprises Core enterprises Individual machine learning Ensemble machine learning Integrated ensemble machine learning
ISSN号	0941-0643
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/6046156
专题	湖南大学
作者单位	1.Hunan Univ, Coll Business Adm, Changsha 410082, Hunan, Peoples R China 2.Hunan Univ, Ctr Finance & Investment Management, Changsha 410082, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Y,Xie, C,Wang, GJ,et al. Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance[J]. Neural Computing and Applications,2017,Vol.28 No.1Suppl:41-50.
APA	Zhu, Y,Xie, C,Wang, GJ,&Yan, XG.(2017).Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance.Neural Computing and Applications,Vol.28 No.1Suppl,41-50.
MLA	Zhu, Y,et al."Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance".Neural Computing and Applications Vol.28 No.1Suppl(2017):41-50.

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