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	A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network
	Guan, Hongjun[1]; Dai, Zongli[2]; Zhao, Aiwu[3]; He, Jie[4]
刊名	PLOS ONE
	2018
卷号	13期号:2页码:e0192366
ISSN号	1932-6203
DOI	http://dx.doi.org/10.1371/journal.pone.0192366
URL标识	查看原文
收录类别	SCI(E) ; PUBMED
WOS记录号	WOS:000424517900067
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5338543
专题	江苏大学
作者单位	1.[1]Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan, Shandong, Peoples R China. 2.[2]Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan, Shandong, Peoples R China. 3.[3]Jiangsu Univ, Sch Management, Zhenjiang, Jiangsu, Peoples R China. 4.[4]Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan, Shandong, Peoples R China.
推荐引用方式 GB/T 7714	Guan, Hongjun[1],Dai, Zongli[2],Zhao, Aiwu[3],et al. A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network[J]. PLOS ONE,2018,13(2):e0192366.
APA	Guan, Hongjun[1],Dai, Zongli[2],Zhao, Aiwu[3],&He, Jie[4].(2018).A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network.PLOS ONE,13(2),e0192366.
MLA	Guan, Hongjun[1],et al."A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network".PLOS ONE 13.2(2018):e0192366.

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