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使用可解释的增强机器学习技术预测可持续的波特兰水泥飞灰砂的压力强度

Hongwei Wang1, Yuanbo Ding1, Yu Kong2

  • 1School of Resources and Safety Engineering, Central South University, Changsha 410083, China.

Materials (Basel, Switzerland)
|October 16, 2024
PubMed
概括

这项研究使用机器学习模拟水泥飞灰砂 (CFAM) 不受限制的压力强度 (UCS). 梯度增强回归器 (GBR) 准确地预测了UCS,确定了固化时间和飞灰成分作为关键因素.

关键词:
简介: SHAP 的解释提高机器学习的速度压力强度的压力强度是什么可持续的水泥飞灰砂砂

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