Discussion on the paper “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Feng Shan, Xuzhen He, Danial Jahed Armaghani, Pin Zhang, Daichao Sheng

Georg H. Erharter*, Thomas Marcher

*Corresponding author for this work

Research output: Contribution to journalComment/debatepeer-review

Original languageEnglish
Article number105063
JournalTunnelling and Underground Space Technology
Volume135
DOIs
Publication statusPublished - May 2023

Keywords

  • Plausibility
  • Reproducibility
  • Rockmass prediction
  • TBM operational data
  • Time delayed prediction

ASJC Scopus subject areas

  • Building and Construction
  • Geotechnical Engineering and Engineering Geology

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