CNN-LSTM structural strain response prediction model based on feature selection
|更新时间:2025-04-10
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CNN-LSTM structural strain response prediction model based on feature selection
“In the field of building structure monitoring, experts have proposed a CNN-LSTM structural strain response prediction method based on feature selection and verified its superior performance, providing a solution for long-term monitoring of building structures.”
Journal of Civil and Environmental EngineeringPages: 1-11(2025)
作者机构:
太原理工大学 土木工程学院,太原 030024
作者简介:
brief: WANG Wei (1999- ), main research interest: structural health monitoring, E-mail: wangwei0482@link.tyut.edu.cn.
LU Guoyun (corresponding author), professor, doctorial supervisor, E-mail: luguoyun@tyut.edu.cn.
基金信息:
National Natural Science Foundation of China(12172244)
WANG Wei,JIANG Shan,HU Jianxiu,et al.CNN-LSTM structural strain response prediction model based on feature selection[J].Journal of Civil and Environmental Engineering,
WANG Wei,JIANG Shan,HU Jianxiu,et al.CNN-LSTM structural strain response prediction model based on feature selection[J].Journal of Civil and Environmental Engineering,DOI:10.11835/j.issn.2096-6717.2025.018.
CNN-LSTM structural strain response prediction model based on feature selection