A Hybrid Modeling Method Based on Expert Control and Deep Neural Network for Temperature Prediction of Molten Steel in LF
Author:
Affiliation:
1. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing
2. Tangshan Branch, Hebei Iron and Steel Co., Ltd.
Publisher
Iron and Steel Institute of Japan
Subject
Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Link
https://www.jstage.jst.go.jp/article/isijinternational/62/3/62_ISIJINT-2021-251/_pdf
Reference40 articles.
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3. 3) Y. J. Wu, Z. H. Jiang and M. F. Jiang: J. Northeast. Univ., 23 (2002), 247 (in Chinese).
4. 4) N. K. Nath, K. Mandal, A. K. Singh, B. Basu, C. Bhanu, S. Kumar and A. Ghosh: Ironmaking Steelmaking, 33 (2006), 140.
5. 5) H. X. Tian, Z. Z. Mao and A. N. Wang: J. Iron Steel Res. Int., 16 (2009), 1.
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