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Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils

Author(s):


Medium: journal article
Language(s): English
Published in: Case Studies in Construction Materials, , v. 20
Page(s): e02800
DOI: 10.1016/j.cscm.2023.e02800
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.cscm.2023.e02800.
  • About this
    data sheet
  • Reference-ID
    10755910
  • Published on:
    14/01/2024
  • Last updated on:
    14/01/2024
 
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