Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature

High temperature severely affects the nature of the ingredients used to produce concrete, which in turn reduces the strength properties of the concrete. It is a difficult and time-consuming task to achieve the desired compressive strength of concrete. However, the application of supervised machine l...

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Detalles Bibliográficos
Autores principales: Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Maślak, Mariusz, Farooq, Furqan, Mehmood, Imran, Nafees, Afnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348726/
https://www.ncbi.nlm.nih.gov/pubmed/34361416
http://dx.doi.org/10.3390/ma14154222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348726/
https://www.ncbi.nlm.nih.gov/pubmed/34361416
http://dx.doi.org/10.3390/ma14154222

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