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...

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Vydáno v:	International journal of mining science and technology Ročník 33; číslo 1; s. 47 - 59
Hlavní autoři:	Wang, Guangjin, Zhao, Bing, Wu, Bisheng, Zhang, Chao, Liu, Wenlian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.01.2023 Elsevier
Témata:	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 přístup:	Získat plný text
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