Predicting the Unconfined Compressive Strength of Rice Husk Ash – Treated Fine-grained Soils
This study aims to develop novel and accurate data-driven predictive models to replace labor-intensive laboratory testing for estimating the unconfined compressive strength (UCS) of problematic soils treated with rice husk ash (RHA) Full Quadratic, Interaction, M5P-tree, and Artificial Neural Netwo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Koya University
2025-06-01
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| Series: | ARO-The Scientific Journal of Koya University |
| Subjects: | |
| Online Access: | https://88.198.206.215/index.php/aro/article/view/1967 |
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