Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture
Link
https://link.springer.com/content/pdf/10.1007/s10706-023-02516-3.pdf
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5. Afradi A, Ebrahimabadi A, Hallajian T (2020) Prediction of tunnel boring machine penetration rate using ant colony optimization, bee colony optimization and the particle swarm optimization, case study: sabzkooh water conveyance tunnel. Min Miner Depos 14(2):75–84. https://doi.org/10.33271/mining14.02.075
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