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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Bibliographic Details
Main Authors: Mahmood Ahmad, Paweł Kamiński, Piotr Olczak, Muhammad Alam, Muhammad Junaid Iqbal, Feezan Ahmad, Sasui Sasui, Beenish Jehan Khan
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
AdaBoost
support vector machine
k-nearest neighbor
random forest
rockfill materials
shear strength
Online Access:https://www.mdpi.com/2076-3417/11/13/6167

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