Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm

Machine learning techniques are widely used algorithms for predicting the mechanical properties of concrete. This study is based on the comparison of algorithms between individuals and ensemble approaches, such as bagging. Optimization for bagging is done by making 20 sub-models to depict the accura...

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Detalles Bibliográficos
Autores principales: Ahmad, Ayaz, Farooq, Furqan, Niewiadomski, Pawel, Ostrowski, Krzysztof, Akbar, Arslan, Aslam, Fahid, Alyousef, Rayed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915283/
https://www.ncbi.nlm.nih.gov/pubmed/33567526
http://dx.doi.org/10.3390/ma14040794

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915283/
https://www.ncbi.nlm.nih.gov/pubmed/33567526
http://dx.doi.org/10.3390/ma14040794

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