Evaluation of underground hard rock mine pillar stability using gene expression programming and decision tree‐support vector machine models

Abstract Assessing the stability of pillars in underground mines (especially in deep underground mines) is a critical concern during both the design and the operational phases of a project. This study mainly focuses on developing two practical models to predict pillar stability status. For this purp...

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Autors principals:	Mohammad H. Kadkhodaei, Ebrahim Ghasemi, Jian Zhou, Melika Zahraei
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2025-03-01
Col·lecció:	Deep Underground Science and Engineering
Matèries:	decision tree‐support vector machine (DT‐SVM) gene expression programming (GEP) hard rock pillar stability underground mining
Accés en línia:	https://doi.org/10.1002/dug2.12115
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