A Robust Estimation of Blasting-Induced Flyrock Using Machine Learning Decision Tree Algorithms: Random Forest, Gradient Boosting Machine, and XGBoost

In surface mining, blasting operations may have harmful effects on the nearby environment. One of the several undesirable scenarios that should be avoided is flyrock, which is generated during the rock fragmentation process. This paper presents three machine learning decision tree algorithms that we...

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Veröffentlicht in:	Mining, metallurgy & exploration Jg. 42; H. 3; S. 1609 - 1624
Hauptverfasser:	Mohammed, Bouhannache, Hamza, Cheniti
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.06.2025
Schlagworte:	Engineering Materials Engineering Metallic Materials Mineral Resources Random forest Gradient boosting machine Decision trees Blasting Flyrock Extreme gradient boosting machines
ISSN:	2524-3462, 2524-3470
Online-Zugang:	Volltext
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