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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Veröffentlicht in:	Journal of civil structural health monitoring Jg. 15; H. 8; S. 3361 - 3381
Hauptverfasser:	Zhang, Ye, Zhang, Wenwei, Li, Yanlong, Wen, Lifeng, Sun, Xinjian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 26.07.2025
Schlagworte:	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
Online-Zugang:	Volltext
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