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Frontiers of Information Technology & Electronic Engineering >> 2023, Volume 24, Issue 3 doi: 10.1631/FITEE.2200366
Data-driven soft sensors in blast furnace ironmaking: a survey
Affiliation(s): State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China; Department of Systems Science, Kyoto University, Kyoto 606-8501, Japan; Research Institute, Baoshan Iron & Steel Co., Ltd., Shanghai 201900, China; less
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Keywords
Soft sensors ; Data-driven modeling ; Machine learning ; Deep learning ; Blast furnace ; Ironmaking process
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