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使用可解释的机器学习模型预测混凝土的压力

Hainan Fu1, Xiong Zhou2, Pengfei Xu1,2

  • 1Shield and Underground Engineering Research Institute, China Railway 15th Bureau Group Co., Ltd., Shanghai 200070, China.

Materials (Basel, Switzerland)
|November 13, 2025
PubMed
概括

本研究引入了一种先进的机器学习方法,用于预测混凝土的压力强度,优于传统方法. 加上可解释性的 CatBoost 模型为混凝土混合物设计提供了一个精确而实用的工具.

关键词:
贝叶斯优化的贝叶斯优化在SHAP分析中,我们分析了SHAP.混凝土的压力强度是混凝土的压力强度.机器学习是机器学习.混合比例优化优化混合比例优化

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