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	Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction.
	Han, Min; Feng, Shoubo; Chen, C. L. Philip; Xu, Meiling; Qiu, Tie
刊名	IEEE Transactions on Knowledge & Data Engineering
	2019
卷号	Vol.31 No.9页码:1809-1821
关键词	broad learning system dynamical system Feature extraction Laplace equations Learning systems Manifold learning Manifolds nonuniform embedding Redundancy Spectral analysis time series Time series analysis
ISSN号	1041-4347
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2904099
专题	天津大学
作者单位	1 Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China 2 Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China 3 School of Computer Science and Technology, Tianjin University, Tianjin, China
推荐引用方式 GB/T 7714	Han, Min,Feng, Shoubo,Chen, C. L. Philip,et al. Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction.[J]. IEEE Transactions on Knowledge & Data Engineering,2019,Vol.31 No.9:1809-1821.
APA	Han, Min,Feng, Shoubo,Chen, C. L. Philip,Xu, Meiling,&Qiu, Tie.(2019).Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction..IEEE Transactions on Knowledge & Data Engineering,Vol.31 No.9,1809-1821.
MLA	Han, Min,et al."Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction.".IEEE Transactions on Knowledge & Data Engineering Vol.31 No.9(2019):1809-1821.

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