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Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches

Author(s):


Medium: journal article
Language(s): English
Published in: Journal of Building Pathology and Rehabilitation, , n. 2, v. 9
DOI: 10.1007/s41024-024-00461-z
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: 10.1007/s41024-024-00461-z.
  • About this
    data sheet
  • Reference-ID
    10785181
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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