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Jifei Deng
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2020 – today
- 2024
- [c2]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Dynamic Modeling of Strip Rolling Process Using Probabilistic Neural Network. AMC 2024: 1-6 - 2023
- [j5]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Mass customization with reinforcement learning: Automatic reconfiguration of a production line. Appl. Soft Comput. 145: 110547 (2023) - [j4]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Offline reinforcement learning for industrial process control: A case study from steel industry. Inf. Sci. 632: 221-231 (2023) - [c1]Jifei Deng, Miro Eklund, Seppo A. Sierla, Jouni Savolainen, Hannu Niemistö, Tommi Karhela, Valeriy Vyatkin:
Application of reinforcement learning for energy consumption optimization of district heating system. ISIE 2023: 1-6 - 2022
- [j3]Jifei Deng, Seppo A. Sierla, Jie Sun, Valeriy Vyatkin:
Reinforcement learning for industrial process control: A case study in flatness control in steel industry. Comput. Ind. 143: 103748 (2022) - [j2]Jifei Deng, Jie Sun, Wen Peng, Dian-hua Zhang, Valeriy Vyatkin:
Imbalanced multiclass classification with active learning in strip rolling process. Knowl. Based Syst. 255: 109754 (2022)
2010 – 2019
- 2019
- [j1]Jifei Deng, Jie Sun, Wen Peng, Yaohui Hu, Dian-hua Zhang:
Application of neural networks for predicting hot-rolled strip crown. Appl. Soft Comput. 78: 119-131 (2019)
Coauthor Index
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last updated on 2024-06-10 21:26 CEST by the dblp team
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