Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques

Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques

Supervised machine learning and its algorithms are a developing trend in the prediction of rockfill material (RFM) mechanical properties. This study investigates supervised learning algorithms—support vector machine (SVM), random forest (RF), AdaBoost, and k-nearest neighbor (KNN) for the prediction...

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Detalhes bibliográficos
Principais autores: Mahmood Ahmad, Paweł Kamiński, Piotr Olczak, Muhammad Alam, Muhammad Junaid Iqbal, Feezan Ahmad, Sasui Sasui, Beenish Jehan Khan
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2021-07-01
coleção:Applied Sciences
Assuntos:
AdaBoost
support vector machine
k-nearest neighbor
random forest
rockfill materials
shear strength
Acesso em linha:https://www.mdpi.com/2076-3417/11/13/6167

Internet

https://www.mdpi.com/2076-3417/11/13/6167

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