• DocumentCode
    2539919
  • Title

    Machine learning in fuel consumption prediction of aircraft

  • Author

    Li, Guanzhong

  • Author_Institution
    Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    7-9 July 2010
  • Firstpage
    358
  • Lastpage
    363
  • Abstract
    Nowadays, as fuel is an important resource for the whole world, researchers are trying a variety machine learning models for fuel flow prediction in industry, aerospace specifically. Different machine learning models have been applied in different applications. This paper will analyze these applications. Many useful points have been found by comparison of those experimental results.
  • Keywords
    aerospace engineering; fuel; learning (artificial intelligence); aircraft fuel consumption prediction; industrial fuel flow prediction; machine learning model; Aircraft; Artificial neural networks; Atmospheric modeling; Fuels; Machine learning; Predictive models; Trajectory; Fuel consumption; Machine Learning; Multi-Layer Perceptron; aircraft;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8041-8
  • Type

    conf

  • DOI
    10.1109/COGINF.2010.5599714
  • Filename
    5599714