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Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials

The shear strength of rockfill materials (RFM) is an important engineering parameter in the design and audit of geotechnical structures. In this paper, the predictive reliability and feasibility of random forests and Cubist models were analyzed by estimating the shear strength from the relative dens...

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Principais autores: Jian Zhou, Enming Li, Haixia Wei, Chuanqi Li, Qiuqiu Qiao, Danial Jahed Armaghani
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2019-04-01
coleção:Applied Sciences
Assuntos:
shear strength
rockfill materials (RFM)
random forests
Cubist
cross-validation
Acesso em linha:https://www.mdpi.com/2076-3417/9/8/1621
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