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Bridge damage identification based on convolutional autoencoders and extreme gradient boosting trees

Duan Yuanfeng Duan Zhengteng Zhang Hongmei Cheng J.J.Roger

Journal of Southeast University(English Edition)2024，Vol.40Issue(3)：P.221-229,9.

Journal of Southeast University(English Edition)2024，Vol.40Issue(3)：P.221-229,9.DOI:10.3969/j.issn.1003-7985.2024.03.001

Bridge damage identification based on convolutional autoencoders and extreme gradient boosting trees

Duan Yuanfeng ¹Duan Zhengteng ¹Zhang Hongmei ¹Cheng J.J.Roger¹

作者信息

1. College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China
折叠

摘要

关键词

structural health monitoring/damage identification/convolutional autoencoder(CAE)/extreme gradient boosting tree(XGBoost)/machine learning

分类

建筑与水利

引用本文复制引用

Duan Yuanfeng,Duan Zhengteng,Zhang Hongmei,Cheng J.J.Roger..Bridge damage identification based on convolutional autoencoders and extreme gradient boosting trees[J].Journal of Southeast University(English Edition),2024,40(3):P.221-229,9.

基金项目

The National Natural Science Foundation of China(No.52361165658,52378318,52078459). （No.52361165658,52378318,52078459）

Journal of Southeast University(English Edition)

ISSN：1003-7985

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