Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials

The casting and testing specimens for determining the mechanical properties of concrete is a time-consuming activity. This study employed supervised machine learning techniques, bagging, AdaBoost, gene expression programming, and decision tree to estimate the compressive strength of concrete contain...

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Detalles Bibliográficos
Autores principales: Ahmad, Waqas, Ahmad, Ayaz, Ostrowski, Krzysztof Adam, Aslam, Fahid, Joyklad, Panuwat, Zajdel, Paulina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510219/
https://www.ncbi.nlm.nih.gov/pubmed/34640160
http://dx.doi.org/10.3390/ma14195762

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510219/
https://www.ncbi.nlm.nih.gov/pubmed/34640160
http://dx.doi.org/10.3390/ma14195762

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