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Interpretable Machine Learning for Prediction of Post-Fire Self-Healing of Concrete
Developing accurate and interpretable models to forecast concrete’s self-healing behavior is of interest to material engineers, scientists, and civil engineering contractors. Machine learning (ML) and artificial intelligence are powerful tools that allow constructing high-precision predictions, yet...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919821/ https://www.ncbi.nlm.nih.gov/pubmed/36770279 http://dx.doi.org/10.3390/ma16031273 |