Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming

The purpose of this article is to demonstrate the potential of gene expression programming (GEP) in anticipating the compressive strength of circular CFRP confined concrete columns. A new GEP model has been developed based on a credible and extensive database of 828 data points to date. Numerous ana...

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Detalles Bibliográficos
Autores principales: Ilyas, Israr, Zafar, Adeel, Afzal, Muhammad Talal, Javed, Muhammad Faisal, Alrowais, Raid, Althoey, Fadi, Mohamed, Abdeliazim Mustafa, Mohamed, Abdullah, Vatin, Nikolai Ivanovich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100819/
https://www.ncbi.nlm.nih.gov/pubmed/35566957
http://dx.doi.org/10.3390/polym14091789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100819/
https://www.ncbi.nlm.nih.gov/pubmed/35566957
http://dx.doi.org/10.3390/polym14091789

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