Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction

The uniaxial compressive strength (UCS) is one of the most important parameters for judging the mechanical behaviorbehaviourof rock mass in rock engineering design and excavation such as tunnels, subways, drilling, slopes and mines stability. However, an obvious deficiency of traditional experimenta...

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Bibliographic Details

Published in:	Applied soft computing Vol. 131; p. 109729
Main Authors:	Li, Jingze, Li, Chuanqi, Zhang, Shaohe
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2022
Subjects:	Metaheuristic Optimization Algorithms Random Forest (RF) Transient Search Optimization (TSO) Uniaxial compressive strength (UCS) Metaheuristic Optimization Algorithms Transient Search Optimization (TSO) Random Forest (RF) Uniaxial compressive strength (UCS)
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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