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标题:Integrating support vector regression with genetic algorithm for CO2-oil minimum miscibility pressure (MMP) in pure and impure CO2 streams
时间:2020-11-21 21:50:54
DOI:10.1016/j.fuel.2016.05.124
大小:1047 kb
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目录:
  • Integrating support vector regression with genetic algorithm for CO2-oil minimum miscibility pressure (MMP) in pure and impure CO2 streams
    • 1 Introduction
    • 2 Methodology
      • 2.1 Support vector regression
      • 2.2 The genetic algorithm – super vector regression (GA–SVR) method
    • 3 Data analysis
      • 3.1 A literature review of the factors affecting the CO2-oil MMP
      • 3.2 A screening of the factors that need to be taken into account in the proposed model
    • 4 Results and discussions
      • 4.1 Accuracy of the model
      • 4.2 Outlier detection
    • 5 Conclusions
    • Acknowledgments
    • References

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