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Super learner machine‐learning algorithms for compressive strength prediction of high performance concrete

Author(s): (Deep Learning Architecture Research Center, Department of Architectural Engineering Sejong University Seoul Republic of Korea)
(CIRTech Institute, HUTECH University Ho Chi Minh City Vietnam)
(Faculty of Engineering and Natural Sciences, Mechanical Engineering Istinye University Istanbul Turkey)
(Deep Learning Architecture Research Center, Department of Architectural Engineering Sejong University Seoul Republic of Korea)
(School of Computing, Engineering and Mathematical Sciences La Trobe University Bundoora Victoria Australia)
Medium: journal article
Language(s): English
Published in: Structural Concrete, , n. 2, v. 24
Page(s): 2208-2228
DOI: 10.1002/suco.202200424
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: 10.1002/suco.202200424.
  • About this
    data sheet
  • Reference-ID
    10685384
  • Published on:
    13/08/2022
  • Last updated on:
    02/09/2023
 
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