Long-term forecasting of shield tunnel position and attitude deviation using the 1DCNN-informer method
Accurate prediction of shield machine position and attitude is crucial for ensuring the quality of tunnel construction. However, current machine learning models for predicting the position and attitude deviations of shield machines encounter significant challenges in achieving reliable long-term for...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625000126 |
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