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...

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Principais autores:	Mahmood Ahmad, Naser A. Al-Shayea, Xiao-Wei Tang, Arshad Jamal, Hasan M. Al-Ahmadi, Feezan Ahmad
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2020-09-01
Series:	Applied Sciences
Assuntos:	pillar stability underground mines random tree C4.5 decision tree prediction
Acceso en liña:	https://www.mdpi.com/2076-3417/10/18/6486
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