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Prediction of FRUHPSCC mechanical property using developed hybrid neural networks

Author(s): (Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
(Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
(Department of Civil Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Construction Materials, , n. 3, v. 177
Page(s): 1-15
DOI: 10.1680/jcoma.22.00072
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: 10.1680/jcoma.22.00072.
  • About this
    data sheet
  • Reference-ID
    10725752
  • Published on:
    30/05/2023
  • Last updated on:
    20/06/2024
 
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