Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms

Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms

Predicting pillar stability is a vital task in hard rock mines as pillar instability can cause large-scale collapse hazards. However, it is challenging because the pillar stability is affected by many factors. With the accumulation of pillar stability cases, machine learning (ML) has shown great pot...

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Bibliographic Details
Main Authors: Weizhang Liang, Suizhi Luo, Guoyan Zhao, Hao Wu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Mathematics
Subjects:
pillar stability
hard rock
prediction
gradient boosting decision tree (GBDT)
extreme gradient boosting (XGBoost)
light gradient boosting machine (LightGBM)
Online Access:https://www.mdpi.com/2227-7390/8/5/765

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https://www.mdpi.com/2227-7390/8/5/765

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