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Updated: Jun 6, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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基于真实监测数据,用于预测建筑物的最大地震响应的支持向量回归模型

Dongwang Tao1,2, Shizhe Fang3,4, Haixu Liu5

  • 1Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, Earthquake Administration, Harbin, 150080, China. taodongwang@iem.ac.cn.

Scientific reports
|December 2, 2024
PubMed
概括

本研究介绍了支持向量回归 (SVR) 模型,用于使用现实数据预测建筑地震损害. 开发的SVR-MDR和RSVR-MDR模型为地震反应预测和损害评估提供了更高的准确性.

关键词:
工程需求参数 工程需求参数测量强度的措施.最大的漂移比率.结构性响应 结构性响应支持矢量回归的支持矢量回归

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