Integrating support vector regression with genetic algorithm for CO 2 -oil minimum miscibility pressure (MMP) in pure and impure CO 2 streams - Université de Lorraine Access content directly
Journal Articles Fuel Year : 2016

Integrating support vector regression with genetic algorithm for CO 2 -oil minimum miscibility pressure (MMP) in pure and impure CO 2 streams

Xiao-Qiang Bian
  • Function : Author
Bing Han
  • Function : Author
Zhi-Min Du
  • Function : Author
Jean-Noël Jaubert
Laboratoire Réactions et Génie des Procédés
Ming-Jun Li
  • Function : Author

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Chemical and Process Engineering

Jean-Noël JAUBERT  : Connect in order to contact the contributor

https://hal.univ-lorraine.fr/hal-01703490

Submitted on : Wednesday, February 7, 2018-10:25:31 PM

Last modification on : Tuesday, September 12, 2023-10:22:03 AM

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hal-01703490 , version 1 (07-02-2018)

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Xiao-Qiang Bian, Bing Han, Zhi-Min Du, Jean-Noël Jaubert, Ming-Jun Li. Integrating support vector regression with genetic algorithm for CO 2 -oil minimum miscibility pressure (MMP) in pure and impure CO 2 streams. Fuel, 2016, 182, pp.550 - 557. ⟨10.1016/j.fuel.2016.05.124⟩. ⟨hal-01703490⟩

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