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Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net

Zhaolin Yuan Xiaorui Li Di Wu Xiaojuan Ban Nai-Qi Wu Hong-Ning Dai Hao Wang

自动化学报(英文版)2022,Vol.9Issue(4):686-698,13.
自动化学报(英文版)2022,Vol.9Issue(4):686-698,13.DOI:10.1109/JAS.2022.105464

Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net

Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net

Zhaolin Yuan 1Xiaorui Li 1Di Wu 2Xiaojuan Ban 1Nai-Qi Wu 3Hong-Ning Dai 4Hao Wang5

作者信息

  • 1. Beijing Advanced Innovation Center for Materials Genome Engineering,Institute of Artificial Intelligence,Beijing Key Laboratory of Knowledge Engineering for Materials Science,School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China
  • 2. Department of ICT and Natural Science,Norwegian University of Science and Technology,6009 Alesund,Norway
  • 3. Institute of Systems Engineering,and Collaborative Laboratory for Intelligent Science and Systems,Macau University of Science and Technology,Macao 999078,China
  • 4. Department of Computing and Decision Sciences,Lingnan University,Hong Kong,China
  • 5. Department of Computer Science,Norwegian University of Science and Technology,2802 Gj?vik,Norway
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摘要

关键词

Industrial 24 paste thickener/ordinary differential equation(ODE)-net/recurrent neural network/time series prediction

Key words

Industrial 24 paste thickener/ordinary differential equation(ODE)-net/recurrent neural network/time series prediction

引用本文复制引用

Zhaolin Yuan,Xiaorui Li,Di Wu,Xiaojuan Ban,Nai-Qi Wu,Hong-Ning Dai,Hao Wang..Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net[J].自动化学报(英文版),2022,9(4):686-698,13.

基金项目

This work was supported by National Key Research and Development Program of China(2019YFC0605300),the National Natural Science Foundation of China(61873299,61902022,61972028),Scientific and Technological Innovation Foundation of Shunde Graduate School,University of Science and Technology Beijing(BK21BF002),Macao Science and Technology Development Fund under Macao Funding Scheme for Key R&D Projects(0025/2019/AKP),and Macao Science and Technology Development Fund(0015/2020/AMJ). (2019YFC0605300)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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