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Success and challenges in predicting TBM penetration rate using recurrent neural networks

Author(s): ORCID




Medium: journal article
Language(s): English
Published in: Tunnelling and Underground Space Technology, , v. 130
Page(s): 104728
DOI: 10.1016/j.tust.2022.104728
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.tust.2022.104728.
  • About this
    data sheet
  • Reference-ID
    10691081
  • Published on:
    23/09/2022
  • Last updated on:
    23/09/2022
 
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