Atıf Formatları
Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming
  • IEEE
  • ACM
  • APA
  • Chicago
  • MLA
  • Harvard
  • BibTeX

S. Alacalı Et Al. , "Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming," NEURAL COMPUTING AND APPLICATIONS , vol.1, no.1, pp.1000-1030, 2024

Alacalı, S. Et Al. 2024. Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming. NEURAL COMPUTING AND APPLICATIONS , vol.1, no.1 , 1000-1030.

Alacalı, S., Akkaya, H. C., Şengün, K., & Arslan, G., (2024). Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming. NEURAL COMPUTING AND APPLICATIONS , vol.1, no.1, 1000-1030.

Alacalı, Sema Et Al. "Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming," NEURAL COMPUTING AND APPLICATIONS , vol.1, no.1, 1000-1030, 2024

Alacalı, Sema Et Al. "Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming." NEURAL COMPUTING AND APPLICATIONS , vol.1, no.1, pp.1000-1030, 2024

Alacalı, S. Et Al. (2024) . "Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming." NEURAL COMPUTING AND APPLICATIONS , vol.1, no.1, pp.1000-1030.

@article{article, author={Sema ALACALI Et Al. }, title={Proposal and evaluation of new models for predicting the FRP contribution to shear strength in reinforced concrete beams using gene expression programming}, journal={NEURAL COMPUTING AND APPLICATIONS}, year=2024, pages={1000-1030} }