Repository logo
  • English
  • Deutsch
  • Español
  • Français
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • Research Outputs
  • Fundings & Projects
  • People
  • Statistics
  • English
  • Deutsch
  • Español
  • Français
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. CRIS
  3. Publication
  4. A fusion of neural, genetic and ensemble machine learning approaches for enhancing the engineering predictive capabilities of lightweight foamed reinforced concrete beam
 
  • Details
Options

A fusion of neural, genetic and ensemble machine learning approaches for enhancing the engineering predictive capabilities of lightweight foamed reinforced concrete beam

Journal
Powder Technology
ISSN
0032-5910
Date Issued
2024-05
Author(s)
Yang Chen
Jie Zeng
Jianping Jia
Mahjoub Jabli
Nermeen Abdullah
Samia Elattar
Mohamed Amine Khadimallah
Riadh Marzouki
Ahmed Hashmi
Hamid Assilzadeh
Facultad de Arquitectura y Urbanismo  
DOI
10.1016/j.powtec.2024.119680

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback

Hosting & Support by

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science