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Improving the experience of machine learning in compressive strength prediction of industrial concrete considering mixing proportions, engineered ratios and atmospheric features

Author(s): ORCID
Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 444
Page(s): 137884
DOI: 10.1016/j.conbuildmat.2024.137884
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.conbuildmat.2024.137884.
  • About this
    data sheet
  • Reference-ID
    10793648
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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