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Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Frontiers of Structural and Civil Engineering   Pages 994-1010 doi: 10.1007/s11709-023-0942-5

Abstract: Hence, a gated recurrent unit (GRU)-based deep learning framework is proposed herein to dynamically predictextracted from a data acquisition system; subsequently, they are preprocessed and used to establish GRU-basedThe RMSE of the GRU-based models is lower than those of the LSTM- and RNN-based models by 21.46%

Keywords: dynamic prediction     moving trajectory     pipe jacking     GRU     deep learning    

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Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Journal Article