Utilization of Tree-Based Ensemble Models for Predicting the Shear Strength of Soil
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s40515-024-00379-6.pdf
Reference41 articles.
1. Asadollah, S.B.H.S., Sharafati, A., Motta, D., Yaseen, Z.M.: River water quality index prediction and uncertainty analysis: a comparative study of machine learning models. J. Environ. Chem. Eng. 9(1), 104599 (2020). https://doi.org/10.1016/j.jece.2020.104599
2. Bui, D.T., Hoang, N.D., Nhu, V.H.: A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam). Eng. Comput. 35, 955–965 (2019). https://doi.org/10.1007/s00366-018-0643-1
3. Bui, D.T., Nhu, V.H., Hoang, N.D.: Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and multilayer perceptron neural network. Adv. Eng. Informat. 38, 593–604 (2018). https://doi.org/10.1016/j.aei.2018.09.005
4. Cao, Z., Wang, Y.: Bayesian model comparison and characterization of undrained shear strength. J. Geotech. Geoenviron. 140(6), 04014018 (2014). https://doi.org/10.1061/(ASCE)GT.1943-5606.0001108
5. Cao, M.T., Hoang, N.D., Nhu, V.H., Bui, D.T.: An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength. Eng. Comput. 38, 2185–2207 (2020). https://doi.org/10.1007/s00366-020-01116-6
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