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...

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Detalles Bibliográficos
Autores principales: Rajczakowska, Magdalena, Szeląg, Maciej, Habermehl-Cwirzen, Karin, Hedlund, Hans, Cwirzen, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919821/
https://www.ncbi.nlm.nih.gov/pubmed/36770279
http://dx.doi.org/10.3390/ma16031273

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