Predicting the Pillar Stability of Underground Mines with Random Trees and C4.5 Decision Trees

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...

Полное описание

Библиографические подробности
Главные авторы: Mahmood Ahmad, Naser A. Al-Shayea, Xiao-Wei Tang, Arshad Jamal, Hasan M. Al-Ahmadi, Feezan Ahmad
Формат: Статья
Язык:English
Опубликовано: MDPI AG 2020-09-01
Серии:Applied Sciences
Предметы:
pillar stability
underground mines
random tree
C4.5 decision tree
prediction
Online-ссылка:https://www.mdpi.com/2076-3417/10/18/6486

Internet

https://www.mdpi.com/2076-3417/10/18/6486

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