Subsidence prediction of high-fill areas based on InSAR monitoring data and the PSO-SVR model

Based on SBAS-InSAR technology and machine learning knowledge, the monitoring and prediction of surface settlement in high-fill areas have important guiding significance for construction, maintenance, and operation of engineering projects. This study takes the Chongqing Donggang Container Terminal a...

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Detalhes bibliográficos

Principais autores:	Huarong LI, Shuanglin DAI, Jiaxin ZHENG
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Editorial Office of The Chinese Journal of Geological Hazard and Control 2024-04-01
coleção:	Zhongguo dizhi zaihai yu fangzhi xuebao
Assuntos:	high fill area particle swarm optimization algorithm support vector machine regression deformation prediction
Acesso em linha:	https://www.zgdzzhyfzxb.com/en/article/doi/10.16031/j.cnki.issn.1003-8035.202210005
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