Predicting the Pillar Stability of Underground Mines with Random Trees and C4.5 Decision Trees
Predicting pillar stability in underground mines is a critical problem because the instability of the pillar can cause large-scale collapse hazards. To predict the pillar stability for underground coal and stone mines, two new models (random tree and C4.5 decision tree algorithms) are proposed in th...
Main Authors: | Mahmood Ahmad, Naser A. Al-Shayea, Xiao-Wei Tang, Arshad Jamal, Hasan M. Al-Ahmadi, Feezan Ahmad |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/18/6486 |
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