A high-performance displacement prediction model of concrete dams integrating signal processing and multiple machine learning techniques

DOI10.1016/J.APM.2022.07.032zbMath1505.74177OpenAlexW4289745664WikidataQ114208556 ScholiaQ114208556MaRDI QIDQ2110785

Dongyang Yuan, Xiangnan Qin, Bowen Wei, Chong-Shi Gu, Wen-Bo Xu

Publication date: 23 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.07.032

zbMATH Keywords

concrete damvariational mode decompositiontwin support vector regressiongated recurrent unitdisplacement prediction

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Optimization of other properties in solid mechanics (74P10)

Cites Work

• Data-based models for the prediction of dam behaviour: a review and some methodological considerations
• TSVR: an efficient twin support vector machine for regression
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• Variational Mode Decomposition

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