Real-time forecasting of TBM cutterhead torque and thrust force using aware-context recurrent neural networks-Reference-Cited by-同舟云学术

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Real-time forecasting of TBM cutterhead torque and thrust force using aware-context recurrent neural networks

Published:2024-10 Issue: Volume:152 Page:105906
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Shan Feng^ORCID,He Xuzhen,Jahed Armaghani Danial,Xu Haoding^ORCID,Liu Xiaoli,Sheng Daichao

Publisher

Elsevier BV

Reference59 articles.

1. Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition;Armaghani;Tunn. Undergr. Space Technol.,2017

2. TBM performance estimation in rock using QTBM;Barton;T & T International,1999

3. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

4. Real-time hard-rock tunnel prediction model for rock mass classification using CatBoost integrated with Sequential Model-Based Optimization;Bo;Tunn. Undergr. Space Technol.,2022

5. Hard rock tunnel boring;Bruland,1998

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