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基于STM的符号回归用于RC深梁和角梁的强度预测

Khaled Megahed1

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

Scientific reports
|October 24, 2024
PubMed
概括

这项研究引入了一种混合符号回归模型,用于预测混凝土梁和杆的剪切强度. 新模型通过机器学习增强传统方法,以实现准确和可解释的结构分析.

关键词:
在 CatBoost 模型中.科尔贝尔斯 (Corbels) 是一种小鱼类.深度光束是深度的光束.机器学习是机器学习.子和领带模型模型象征性回归是一种象征性回归.

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