Use of Machine Learning to Predict California Bearing Ratio of Soils
CBR is a crucial metric used to assess the durability of base course materials and subgrade soils in various types of pavements. In this research, the machine learning (ML) approach has been implemented using random forest (RF), decision tree (DT), linear regression (LR), and artificial neural netwo...
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| Main Authors: | Semachew Molla Kassa, Betelhem Zewdu Wubineh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/8198648 |
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