Predicting the Compression Index of Clayey Soils Using a Hybrid Genetic Programming and XGBoost Model
The accurate prediction of the compression index (<i>C<sub>c</sub></i>) is crucial for understanding the settlement behavior of clayey soils, which is a key factor in geotechnical design. Traditional empirical models, while widely used, often fail to generalize across diverse...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/4/1926 |
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