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

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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