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	Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling
	Zhou, Chuang; Lu, XinJiang; Huang, MingHui
刊名	Neurocomputing
	2016
卷号	182页码:145-153
关键词	Modelling LS-SVM D-S theory Robustness Noise Fuzzy clustering
ISSN号	0925-2312
DOI	10.1016/j.neucom.2015.11.081
URL标识	查看原文
WOS记录号	WOS:000370883200015;EI:20155201727121
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3345114
专题	中南大学
作者单位	1.[Huang, MingHui 2.Zhou, Chuang 3.Lu, XinJiang] Cent S Univ, State Key Lab High Performance Complex Mfg, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Zhou, Chuang,Lu, XinJiang,Huang, MingHui. Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling[J]. Neurocomputing,2016,182:145-153.
APA	Zhou, Chuang,Lu, XinJiang,&Huang, MingHui.(2016).Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling.Neurocomputing,182,145-153.
MLA	Zhou, Chuang,et al."Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling".Neurocomputing 182(2016):145-153.

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