Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model

Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model

This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra Trees (ET), Decision Tree (DT), and Linear Regression (LR) models, aiming to maximize the prediction accuracy...

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Bibliographic Details
Main Authors: Binghao Pan, Wensheng Liu, Pan Zhou, Dapeng Oliver Wu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Concrete
ensemble learning
machine learning
recycled concrete aggregate
strength prediction
Online Access:https://ieeexplore.ieee.org/document/10806804/
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