Robust group intelligent models for predicting hydrogen density and viscosity: Implication for hydrogen production, transportation, and storage

Created by W.Langdon from gp-bibliography.bib Revision:1.8414

@Article{Alqahtani:2025:jtice,

• author = "Fahd Mohamad Alqahtani and Mohamed Riad Youcefi and Menad {Nait Amar} and Hakim Djema and Mohammad Ghasemi",
• title = "Robust group intelligent models for predicting hydrogen density and viscosity: Implication for hydrogen production, transportation, and storage",
• journal = "Journal of the Taiwan Institute of Chemical Engineers",
• year = "2025",
• volume = "168",
• pages = "105949",
• keywords = "genetic algorithms, genetic programming, Hydrogen, Viscosity, Density, Machine learning, Committee machine intelligent system, Multi-gene genetic programming",
• ISSN = "1876-1070",
• URL = "https://www.sciencedirect.com/science/article/pii/S1876107024006072",
• DOI = "doi:10.1016/j.jtice.2024.105949",
• abstract = "Backgrou",

}

Genetic Programming entries for Fahd Mohamad Alqahtani Mohamed Riad Youcefi Menad Nait Amar Hakim Djema Mohammad Ghasemi

Citations