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...

Celý popis

Podrobná bibliografie

Vydáno v:	Applied soft computing Ročník 131; s. 109729
Hlavní autoři:	Li, Jingze, Li, Chuanqi, Zhang, Shaohe
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2022
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!