SWLSTNet-GPR: a novel point and probabilistic prediction model for concrete dam displacement based on deep learning algorithms

Establishing an accurate and efficient prediction model for concrete dam deformation is crucial for ensuring dam safety. However, most existing studies primarily focus on enhancing point prediction accuracy, often neglecting important factors, such as training efficiency and probabilistic forecastin...

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Vydané v:	Journal of civil structural health monitoring Ročník 15; číslo 8; s. 3361 - 3381
Hlavní autori:	Zhang, Ye, Zhang, Wenwei, Li, Yanlong, Wen, Lifeng, Sun, Xinjian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 26.07.2025
Predmet:	Civil Engineering Control Dynamical Systems Engineering Measurement Science and Instrumentation Original Paper Vibration Deep learning GPR Deformation Hydraulic Engineering SWLSTNet Probabilistic prediction
ISSN:	2190-5452, 2190-5479
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