Comparative Analysis of Machine Learning Techniques for Prediction of the Compressive Strength of Field Concrete

The determination of the concrete compressive strength remains a challenging task in the concrete industry. Machine learning (ML) algorithms offer an alternative and this study presents a comparative analysis of five ML regression models; Gradient Boosting (GB), Random Forest (RF), Decision Tree (DT...

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Bibliographic Details

Published in:	Sakarya University Journal of Computer and Information Sciences
Main Authors:	Omobolaji Opafola, Abisola Olayiwola, Ositola Osifeko, Adekunle David, Ajibola Oyedejı
Format:	Article
Language:	English
Published:	Sakarya University 2024-08-01
Subjects:	machine learning concrete compressive strength prediction regression models web application
Online Access:	https://dergipark.org.tr/en/download/article-file/3643078