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

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