An intelligent equation for methane hydrate growth kinetics

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@Article{PEREZMOROYOQUI:2022:MCS,

• author = "Rene Perez-Moroyoqui and Oscar Ibanez-Orozco and Suemi Rodriguez-Romo",
• title = "An intelligent equation for methane hydrate growth kinetics",
• journal = "Mathematics and Computers in Simulation",
• year = "2022",
• volume = "192",
• pages = "19--32",
• month = feb,
• keywords = "genetic algorithms, genetic programming, Methane hydrate, Formation kinetics, Artificial Neural Networks, ANN",
• ISSN = "0378-4754",
• URL = "https://www.sciencedirect.com/science/article/pii/S0378475421002883",
• DOI = "doi:10.1016/j.matcom.2021.08.011",
• abstract = "We explore the use of deep artificial neural networks (DNNs) to impute data to the experimental data reported by the methane hydrate crystal growth at a bubble surface reported in the literature (Ma, et al., 2002; Sun et al., 2007). We use a genetic programming symbolic regressor to propose a novel empirical rate equation as a function of the temperature and the pressure from the new data set",

}

Genetic Programming entries for Rene Perez Moroyoqui Oscar Ibanez Orozco Suemi Rodriguez Romo

Citations