Data-driven multi-output prediction for TBM performance during tunnel excavation: An attention-based graph convolutional network approach
Author:
Publisher
Elsevier BV
Subject
Building and Construction,Civil and Structural Engineering,Control and Systems Engineering
Reference48 articles.
1. A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque;Shi;Knowl.-Based Syst.,2021
2. Data based complex network modeling and analysis of shield tunneling performance in metro construction;Zhou;Adv. Eng. Inform.,2018
3. Hybrid support vector machine optimization model for prediction of energy consumption of cutter head drives in shield tunneling;Zhou;J. Comput. Civ. Eng.,2019
4. TBM tunnelling under adverse geological conditions: an overview;Gong;Tunn. Undergr. Space Technol.,2016
5. A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine;Shi;Knowl.-Based Syst.,2019
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