Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty
Yao, Yuantao1,2; Yang, Minghan2; Wang, Jianye2; Xie, Min1
刊名IEEE Transactions on Industrial Informatics
2022-08-16
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/133266]  
专题合肥物质科学研究院_中国科学院核能安全技术研究所
通讯作者Yao, Yuantao; Xie, Min
作者单位1.Department of Advanced Design and Systems Engineering and the School of Data Science, City University of Hong Kong, Hong Kong
2.Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
推荐引用方式
GB/T 7714
Yao, Yuantao,Yang, Minghan,Wang, Jianye,et al. Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty[J]. IEEE Transactions on Industrial Informatics,2022.
APA Yao, Yuantao,Yang, Minghan,Wang, Jianye,&Xie, Min.(2022).Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty.IEEE Transactions on Industrial Informatics.
MLA Yao, Yuantao,et al."Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty".IEEE Transactions on Industrial Informatics (2022).
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