A Hybrid Feature Selection-multidimensional LSTM Framework for Deformation Prediction of Super High Arch Dams

Developing a deformation prediction model with strong robustness and applicability based on monitoring data is an important task in establishing a safety monitoring system for super high arch dams. This study proposes a hybrid deep learning (DL) model for deformation prediction, named HFS/xs-MLSTM....

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Veröffentlicht in:KSCE journal of civil engineering 2022-11, Vol.26 (11), p.4603-4616
Hauptverfasser: Cao, Enhua, Bao, Tengfei, Li, Hui, Xie, Xiang, Yuan, Rongyao, Hu, Shaopei, Wang, Wenjun
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Sprache:eng
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