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...

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Bibliographic Details
Published in:	Applied sciences Vol. 15; no. 15; p. 8363
Main Authors:	Mame, Madalitso, Huang, Shuai, Li, Chuanqi, Zhou, Jian
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 28.07.2025
Subjects:	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 Access:	Get full text
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