0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength

Author(s): (School of Civil Engineering Beijing Jiaotong University Beijing P. R.China)
(School of Civil Engineering Beijing Jiaotong University Beijing P. R.China)
(School of Civil Engineering Beijing Jiaotong University Beijing P. R.China)
(School of Civil Engineering Beijing Jiaotong University Beijing P. R.China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 4, v. 39
Page(s): 559-574
DOI: 10.1111/mice.13096
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: 10.1111/mice.13096.
  • About this
    data sheet
  • Reference-ID
    10743109
  • Published on:
    28/10/2023
  • Last updated on:
    25/04/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine