Advanced prediction of tunnel boring machine performance based on big data
Author:
Funder
Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Earth and Planetary Sciences
Reference21 articles.
1. Bayesian prediction of TBM penetration rate in rock mass;Adoko;Eng. Geol.,2017
2. Hard Rock Tunnel Boring;Bruland,1998
3. Operational characteristics of full-face tunnel boring machines;Farmer,1987
4. Utilizing partial least square and support vector machine for TBM penetration rate prediction in hard rock conditions;Gao;J. Cent. S. Univ.,2015
5. Recurrent neural networks for real-time prediction of TBM operating parameters;Gao;Autom. ConStruct.,2019
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