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Updated: Jun 7, 2025

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机器学习预测受控制的低强度材料的无限制压力强度,使用飞灰和池灰

K Lini Dev1, Divesh Ranjan Kumar2, Warit Wipulanusat3

  • 1Department of Civil Engineering, National Institute of Technology, Patna, India.

Scientific reports
|November 11, 2024
PubMed
概括

这项研究使用机器学习来预测由煤灰制成的受控低强度材料 (CLSM) 的强度,为土木工程中的工业废物提供可持续的解决方案. 多变量适应回归线 (MARS) 模型在预测CLSM方面表现最好.

关键词:
控制的低强度材料材料的控制.飞行灰的飞行灰机器学习 机器学习池的灰是一个池.没有限制的压力强度.

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