Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network

N Zhang, N Zhang, Q Zheng, YS Xu - Acta Geotechnica, 2022 - Springer
This paper establishes an intelligent framework for real-time prediction of trajectory
deviations in the process of earth pressure balance (EPB) tunnelling. A hybrid model was …
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Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network.

N Zhang, N Zhang, Q Zheng, YS Xu - Acta Geotechnica, 2022 - search.ebscohost.com
This paper establishes an intelligent framework for real-time prediction of trajectory
deviations in the process of earth pressure balance (EPB) tunnelling. A hybrid model was …

Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network

N Zhang, N Zhang, Q Zheng… - Acta …, 2022 - researchrepository.rmit.edu.au
This paper establishes an intelligent framework for real-time prediction of trajectory
deviations in the process of earth pressure balance (EPB) tunnelling. A hybrid model was …

Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network

N Zhang, N Zhang, Q Zheng… - Acta Geotechnica, 2022 - search.proquest.com
This paper establishes an intelligent framework for real-time prediction of trajectory
deviations in the process of earth pressure balance (EPB) tunnelling. A hybrid model was …

Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network

N Zhang, N Zhang, Q Zheng, YS Xu - Acta Geotechnica, 2022 - research.polyu.edu.hk
This paper establishes an intelligent framework for real-time prediction of trajectory
deviations in the process of earth pressure balance (EPB) tunnelling. A hybrid model was …