An intelligent construction model in whole process for shield tunnelling
Dechun Lu,
Yihan Liu,
Fanchao Kong
et al.
Abstract:Predicting shield tunnelling parameters in the whole construction process is of great importance, which can effectively control ground stability and improve tunnelling efficiency. A novel deep learning method is developed considering transfer learning, incremental learning and Bi-LSTM fusing with available data of the next ring to be excavated (ADNRE) to predict shield tunnelling parameters in the whole process. Before construction, transfer learning uses data from similar projects to determine initial network… Show more
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