The implementation of a Random Forest model utilizing meta-heuristic algorithms to forecast the undrained shear strength
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00314-1.pdf
Reference36 articles.
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3. Behnam S, Tejani GG, Kumar S (2023) Predict the maximum dry density of soil based on individual and hybrid methods of machine learning. Adv Eng Intell Syst. https://doi.org/10.22034/aeis.2023.414188.1129
4. Breiman L (2001) Random forests. Mach Learn 45:5–32
5. Breiman L, Friedman J, Olshen R, Stone C (1984) Classification and regression trees. CRC press, Boca Raton
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