Development of prediction model of steel fiber-reinforced concrete compressive strength using random forest algorithm combined with hyperparameter tuning and k-fold cross-validation
Because of the incorporation of discontinuous fibers, steel fiber-reinforced concrete (SFRC) outperforms regular concrete. However, due to its complexity and limited available data, the development of SFRC strength prediction techniques is still in its infancy when compared to that of standard concr...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN RU UK |
| Publicado: |
PC Technology Center
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c86932b3e07e4101964d6561d32e895a |
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