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使用自适应采样和机器学习技术预测ECC-CES柱的轴向压缩能力

Khaled Megahed1

  • 1Department of Structural Engineering, Mansoura University, PO Box 35516, Mansoura, Egypt. k.megahed@mans.edu.eg.

Scientific reports
|February 5, 2025
PubMed
概括

工程混凝土复合材料 (ECC) 封闭式混凝土封装钢柱 (CES) 显示性能有所改善. 机器学习模型准确地预测轴承容量,为传统设计标准提供了切实可行的替代方案.

关键词:
适应性抽样采集方式在 CatBoost 模型中.工艺混凝土复合材料是人工混凝土复合材料.有限元素建模的模型.机器学习是机器学习.象征性回归是一种象征性回归.

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