Predicting the compressive strength of high-performance concrete using an interpretable machine learning model

Predicting the compressive strength of high-performance concrete using an interpretable machine learning model

Abstract Reliable predictions of concrete strength can reduce construction time and labor costs, providing strong support for building construction quality inspection. To enhance the accuracy of concrete strength prediction, this paper introduces an interpretable framework for machine learning (ML)...

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Bibliographic Details
Main Authors: Yushuai Zhang, Wangjun Ren, Yicun Chen, Yongtao Mi, Jiyong Lei, Licheng Sun
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Machine learning
Proportional features
Random search
Compressive strength prediction
SHapley Additive exPlanations
Online Access:https://doi.org/10.1038/s41598-024-79502-z
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https://doi.org/10.1038/s41598-024-79502-z

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