研究论文
A Multi-scale 1D-CNN-XGBoost Hybrid Model for Silicon Content Prediction in Blast Furnace Smelting
Junyi Duan
Beijing University of Technology
来源Metallurgical and Materials Transactions B
年份2025
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学科主题
工程Iron and Steelmaking Processes
Metallurgical Processes and Thermodynamics · Fault Detection and Control Systems
参考文献 27
Formation mechanism of the protective layer in a blast furnace hearth
被引 60Kexin Jiao, Jianliang Zhang, Zhengjian Liu · International Journal of Minerals Metallurgy and Materials · 2015
Prediction of Silicon Content in Blast Furnace Hot Metal Using Partial Least Squares (PLS)
被引 120Tathagata BHATTACHARYA · ISIJ International · 2005
A new model based on improved PSO and BP to predict silicon content in hot metal
被引 3Li Wang, Dongqing Wang, Ning Ding · 2010
此处列出前 3 条
引用本文 3
Predictive Optimization of Vibrations in a Biodiesel-Fueled Variable Compression Ratio Engine Using BO-CNN-LSTM
被引 0İhsan Uluocak · ACS Omega · 2026
Prediction of Coal Blending Ratio in Copper Bottom-Blowing Smelting using ExtraTrees Based on SHAP Interpretation
被引 0Haoli Yan, Bo Li, Jinyue Liu · Metallurgical and Materials Transactions B · 2026
Prediction and Mechanism Analysis of Matte Grade and Arsenic Content in Copper Smelting Using an Interpretable BO-XGBoost Model
被引 0Jianjun Yang, Linbo Li, Yaru Cui · Journal of Sustainable Metallurgy · 2026
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