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	Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective
	Feng, Shoubo; Ren, Weijie; Han, Min; Chen, Yen Wei
刊名	NEURAL NETWORKS
	2019
卷号	117页码:179-190
关键词	Time series Tikhonov Regularization Perturbation Manifold Broad learning system
ISSN号	0893-6080
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3216671
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Liaoning, Peoples R China. 2.Ritsumeikan Univ, Grad Sch Informat Sci & Engn, Kusatsu, Shiga, Japan.
推荐引用方式 GB/T 7714	Feng, Shoubo,Ren, Weijie,Han, Min,et al. Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective[J]. NEURAL NETWORKS,2019,117:179-190.
APA	Feng, Shoubo,Ren, Weijie,Han, Min,&Chen, Yen Wei.(2019).Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective.NEURAL NETWORKS,117,179-190.
MLA	Feng, Shoubo,et al."Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective".NEURAL NETWORKS 117(2019):179-190.

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