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Updated: May 10, 2025

Surrogate Model Development for Digital Experiments in Welding
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Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

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通过机器学习预测的矩形剪切壁中的歇斯底里曲线特征

Jungui Dong1, Ce Chen2

  • 1Zhaoqing Construction Engineering Co., Ltd, Zhaoqing, 526060, China.

Scientific reports
|April 24, 2025
PubMed
概括

本研究介绍了一种可解释的实证指导机器学习 (IEG-ML) 模型,用于预测钢筋混凝土 (RC) 剪墙中的地震性能特征点. 使用虫算法 (DBO) 优化的IEG-ML模型为高层建筑提供了准确和高效的地震评估.

关键词:
具有特征性的点.这是一个DBODBO.根据IEG-ML的规定.地震评估的地震评估.剪切墙上的剪切墙.

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