Use of Machine Learning Algorithms to Predict Subgrade Resilient Modulus

Use of Machine Learning Algorithms to Predict Subgrade Resilient Modulus

Modern machine learning methods, such as tree ensembles, have recently become extremely popular due to their versatility and scalability in handling heterogeneous data and have been successfully applied across a wide range of domains. In this study, two widely applied tree ensemble methods, i.e., ra...

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Bibliographic Details
Main Authors: Steve Pahno, Jidong J. Yang, S. Sonny Kim
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Infrastructures
Subjects:
machine learning
decision trees
random forest
gradient boosting
multiple linear regression
resilient modulus
Online Access:https://www.mdpi.com/2412-3811/6/6/78

Internet

https://www.mdpi.com/2412-3811/6/6/78

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