A critical evaluation of machine learning and deep learning in shield-ground interaction prediction
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Title
A critical evaluation of machine learning and deep learning in shield-ground interaction prediction
Authors
Keywords
Machine learning, Deep learning, Tunnel, Settlement
Journal
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Volume 106, Issue -, Pages 103593
Publisher
Elsevier BV
Online
2020-09-29
DOI
10.1016/j.tust.2020.103593
References
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- Deep learning based image recognition for crack and leakage defects of metro shield tunnel
- (2018) Hong-wei Huang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
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- A single-objective EPR based model for creep index of soft clays considering L2 regularization
- (2018) Yin-Fu Jin et al. ENGINEERING GEOLOGY
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- Recurrent neural networks for real-time prediction of TBM operating parameters
- (2018) Xianjie Gao et al. AUTOMATION IN CONSTRUCTION
- Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement
- (2017) Zhen-Yu Yin et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
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