Prediction of Compressive Strength of Fly Ash-Based Geopolymer Concrete Using Supervised Machine Learning Methods Article

Khan, Arslan Qayyum, Naveed, Muhammad Huzaifa, Rasheed, Muhammad Dawood et al. (2024). Prediction of Compressive Strength of Fly Ash-Based Geopolymer Concrete Using Supervised Machine Learning Methods . Arabian Journal for Science and Engineering, 49(4), 4889-4904. 10.1007/s13369-023-08283-w

International Collaboration

cited authors

  • Khan, Arslan Qayyum; Naveed, Muhammad Huzaifa; Rasheed, Muhammad Dawood; Miao, Pengyong

sustainable development goals

authors

publication date

  • April 1, 2024

published in

keywords

  • BEHAVIOR
  • Backpropagation neural network
  • Compressive strength
  • Geopolymer concrete
  • K-fold cross-validation
  • K-nearest neighbors
  • Machine learning
  • Multidisciplinary Sciences
  • NEAREST-NEIGHBOR ALGORITHM
  • NETWORKS
  • Random forest regression
  • Science & Technology
  • Science & Technology - Other Topics

Digital Object Identifier (DOI)

start page

  • 4889

end page

  • 4904

volume

  • 49

issue

  • 4