Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty
文献类型：期刊论文
| 作者 | Yao, Yuantao1,2 ; Yang, Minghan2; Wang, Jianye2; Xie, Min1
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| 刊名 | IEEE Transactions on Industrial Informatics
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| 出版日期 | 2022-08-16 |
| 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). |
入库方式： OAI收割
来源：合肥物质科学研究院
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