Prediction of Autogenous Shrinkage of Concrete Incorporating Super Absorbent Polymer and Waste Materials through Individual and Ensemble Machine Learning Approaches

The use of superabsorbent polymers, sometimes known as SAP, is a tremendously efficacious method for reducing the amount of autogenous shrinkage (AS) that occurs in high-performance concrete. This study utilizes support vector regression (SVR) as a standalone machine-learning algorithm (MLA) which i...

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Detalles Bibliográficos
Autores principales: Qureshi, Hisham Jahangir, Saleem, Muhammad Umair, Javed, Muhammad Faisal, Al Fuhaid, Abdulrahman Fahad, Ahmad, Jawad, Amin, Muhammad Nasir, Khan, Kaffayatullah, Aslam, Fahid, Arifuzzaman, Md
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656842/
https://www.ncbi.nlm.nih.gov/pubmed/36363008
http://dx.doi.org/10.3390/ma15217412

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656842/
https://www.ncbi.nlm.nih.gov/pubmed/36363008
http://dx.doi.org/10.3390/ma15217412

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