Application of Extra-Trees Regression and Tree-Structured Parzen Estimators Optimization Algorithm to Predict Blast-Induced Mean Fragmentation Size in Open-Pit Mines

Blasting is an effective technique for fragmenting rock in open-pit mining operations. Blasting operations produce either boulders or fine fragments, both of which increase costs and pose environmental risks. As a result, predicting the mean fragmentation size (MFS) distribution of rock is critical...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Applied sciences Jg. 15; H. 15; S. 8363
Hauptverfasser:	Mame, Madalitso, Huang, Shuai, Li, Chuanqi, Zhou, Jian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 28.07.2025
Schlagworte:	Accuracy Artificial intelligence blasting Civil engineering Data analysis Data collection Datasets Explosives extra trees algorithm Human error mean fragmentation size Mines Mining engineering Normal distribution open-pit mines Optimization algorithms rock fragmentation Variables
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!