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Proceeding Paper

Intelligent Prediction of Blast Furnace Permeability by Integrating Extreme Gradient Boosting and Light Gradient Boosting Machine †

Department of Intelligent Equipment, Changzhou College of Information Technology, Changzhou 213164, China
*
Author to whom correspondence should be addressed.
Presented at the 9th Eurasian Conference on Educational Innovation 2026 (ECEI 2026), Da Nang City, Vietnam, 30 January–2 February 2026.
Eng. Proc. 2026, 141(1), 15; https://doi.org/10.3390/engproc2026141015
Published: 11 June 2026

Abstract

We developed an ensemble model based on the fusion of Extreme Gradient Boosting and Light Gradient Boosting Machine. 20 key parameters, including hourly charging rate, blast volume, and blast pressure, are selected as input features to construct and train the ensemble model for predicting the blast furnace permeability index. The results show that the model achieves a root mean squared error of 0.0868, a mean absolute error of 0.0708, and a coefficient of determination of 0.9602, confirming its excellent predictive accuracy.
Keywords: blast furnace; permeability index; XGBoost; LightGBM; intelligent prediction blast furnace; permeability index; XGBoost; LightGBM; intelligent prediction

Share and Cite

MDPI and ACS Style

Xu, B.; Nie, H.; Li, H.; Shi, X. Intelligent Prediction of Blast Furnace Permeability by Integrating Extreme Gradient Boosting and Light Gradient Boosting Machine. Eng. Proc. 2026, 141, 15. https://doi.org/10.3390/engproc2026141015

AMA Style

Xu B, Nie H, Li H, Shi X. Intelligent Prediction of Blast Furnace Permeability by Integrating Extreme Gradient Boosting and Light Gradient Boosting Machine. Engineering Proceedings. 2026; 141(1):15. https://doi.org/10.3390/engproc2026141015

Chicago/Turabian Style

Xu, Bo, Haiqi Nie, Hongda Li, and Xinmin Shi. 2026. "Intelligent Prediction of Blast Furnace Permeability by Integrating Extreme Gradient Boosting and Light Gradient Boosting Machine" Engineering Proceedings 141, no. 1: 15. https://doi.org/10.3390/engproc2026141015

APA Style

Xu, B., Nie, H., Li, H., & Shi, X. (2026). Intelligent Prediction of Blast Furnace Permeability by Integrating Extreme Gradient Boosting and Light Gradient Boosting Machine. Engineering Proceedings, 141(1), 15. https://doi.org/10.3390/engproc2026141015

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