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贝叶斯机器学习用于超高性能混凝土的反向设计

Christopher Childs1, Aaron Miller2, Willie Neiswanger3

  • 1Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
|September 25, 2025
PubMed
概括

本研究介绍了贝叶斯的反向设计方法,用于超高性能混凝土 (UHPC). 机器学习模型中的潜在变量提高了概括性,并预测了新的高强度UHPC组合.

关键词:
压力强度的压力强度是什么精细聚合物 精细聚合物隐性变量是一个隐性变量.机器学习是机器学习.预测模型是一个预测模型.超高性能混凝土的超高性能混凝土

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