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Adaptive machine learning framework: Predicting UHPC performance from data to modelling
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DOI：10.1016/j.rineng.2025.106724.png)
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摘要
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• 一个包含20个输入变量的更广泛的数据集提高了UHPC强度的预测精度。
• 一个可解释的ML框架结合了异常值检测、特征选择和SHAP。
• LightGBM在UHPC抗压强度方面实现了最高的准确性和稳定性。
• SHAP分析揭示了关键因素如Age和SF含量，为材料设计提供指导。
Keyword:
Ultra-High Performance Concrete (UHPC)
Compressive strength
Machine learning (ML)
LightGBM
SHapley Additional explanation (SHAP)
期刊
IF:
7.9
论文数:
1.2W
被引数:
1.7W
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