Intelligent prediction of slope stability based on visual exploratory data analysis of 77 in situ cases

Slope stability prediction research is a complex non-linear system problem. In carrying out slope stability prediction work, it often encounters low accuracy of prediction models and blind data preprocessing. Based on 77 field cases, 5 quantitative indicators are selected to improve the accuracy of...

Celý popis

Podrobná bibliografia

Vydané v:	International journal of mining science and technology Ročník 33; číslo 1; s. 47 - 59
Hlavní autori:	Wang, Guangjin, Zhao, Bing, Wu, Bisheng, Zhang, Chao, Liu, Wenlian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2023 Elsevier
Predmet:	Coefficient of variation Dimensionality reduction visualization Machine learning algorithm Random cross validation Slope stability prediction Dimensionality reduction visualization Coefficient of variation Slope stability prediction Random cross validation Machine learning algorithm
ISSN:	2095-2686
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!