Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
Ultra-high-performance geopolymer concrete (UHPGC) is a new category of traditional UHPC developed to meet the desire for ultra-high-strength and green building materials. In the current study, random forest (RF), support vector regression (SVR), and extreme gradient boosting (XGB) are used to forec...
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Elsevier Ltd
2025
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