Anomaly detection method for TBM construction based on improved VMD-XGBoost-BILSTM combined model
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01101-9.pdf
Reference13 articles.
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3. Hou JZ, Jia GP, Liu B et al (2022a) Advance prediction method for rock mass stability of tunnel boring based on deep neural network of time series. Proc Inst Mech Eng C J Mech Eng Sci 236(10). https://doi.org/10.1177/09544062211061682
4. Hou SK, Liu YR, Yang Q (2022b) Real-time prediction of rock mass classification based on TBM operation big data and stacking technique of ensemble learning. J Rock Mech Geotech Eng 14(01):123–143
5. Li ZM, Yazdani BB, Behn A et al (2021) A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass. Soft Comput 25(17). https://doi.org/10.1007/S00500-021-06005-8
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