Prediction of end-point phosphorus content of molten steel in BOF with machine learning models
The main task in the production of steel in the basic oxygen furnace (BOF) is dephosphorization Therefore, the prediction and control of the end-point phosphorus content of molten steel is of great significance. Four machine learning regression models (Lasso, Random Forest, Xgboost, and Neural Netwo...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Belgrade, Technical Faculty, Bor
2024-01-01
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| Series: | Journal of Mining and Metallurgy. Section B: Metallurgy |
| Subjects: | |
| Online Access: | https://doiserbia.nb.rs/img/doi/1450-5339/2024/1450-53392400008K.pdf |
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