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...
Main Authors: | Mahmood Ahmad, Paweł Kamiński, Piotr Olczak, Muhammad Alam, Muhammad Junaid Iqbal, Feezan Ahmad, Sasui Sasui, Beenish Jehan Khan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/13/6167 |
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