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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Vydané v:	Applied soft computing Ročník 131; s. 109729
Hlavní autori:	Li, Jingze, Li, Chuanqi, Zhang, Shaohe
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2022
Predmet:	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
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