Application of Soft-Computing Methods to Evaluate the Compressive Strength of Self-Compacting Concrete

This research examined machine learning (ML) techniques for predicting the compressive strength (CS) of self-compacting concrete (SCC). Multilayer perceptron (MLP), bagging regressor (BR), and support vector machine (SVM) were utilized for analysis. A total of 169 data points were retrieved from the...

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Detalles Bibliográficos
Autores principales: Amin, Muhammad Nasir, Al-Hashem, Mohammed Najeeb, Ahmad, Ayaz, Khan, Kaffayatullah, Ahmad, Waqas, Qadir, Muhammad Ghulam, Imran, Muhammad, Al-Ahmad, Qasem M. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656225/
https://www.ncbi.nlm.nih.gov/pubmed/36363391
http://dx.doi.org/10.3390/ma15217800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656225/
https://www.ncbi.nlm.nih.gov/pubmed/36363391
http://dx.doi.org/10.3390/ma15217800

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