Leveraging the Power of Hybrid and Standalone Machine Learning for Enhanced FRP-Confined Concrete Columns Strength Prediction
This study proposes a broad investigation into the application of advanced ML techniques for anticipating the compressive load-bearing capacity of FRP-confined concrete columns. The methods include the Extremely Randomized Tree (ERT), Random Forest (RF), Gaussian Process Regression (GPR), and Back P...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pouyan Press
2025-07-01
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| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | https://www.jsoftcivil.com/article_202323_d77aa651911fb47dfe7490f68e8c6777.pdf |
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