Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete

Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete

Abstract This research examines the application of eight different machine learning (ML) algorithms for predicting the compressive strength of high-performance concrete (HPC). Achieving precise predictions is crucial for enhancing structural reliability and optimizing resource usage in construction...

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Bibliographic Details
Main Authors: Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole
Format: Article
Language:English
Published: Springer Nature 2025-07-01
Series:AI in Civil Engineering
Subjects:
Concrete strength
Machine learning
Prediction
Boosting
Regression
High performance concrete
Online Access:https://doi.org/10.1007/s43503-025-00061-x
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https://doi.org/10.1007/s43503-025-00061-x

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