• DocumentCode
    2746119
  • Title

    Study on the Support Vecter Machine (SVM) Model of Aircraft Economic Classification with Application in China

  • Author

    Li, Xiao-Jin ; Zhao, Shu-Long

  • Author_Institution
    Econ. & Manage. Coll., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    177
  • Lastpage
    179
  • Abstract
    In this paper, according to the principle of ICAO which named as "user paid for by himself", the model of aircraft economic classification is set up based on the theory of support vector machine (SVM). Then, in China, the model is used in the practice, the testing result is able to reflect out accurately characteristics of the data, and closely with the value of passenger enjoyed services.
  • Keywords
    aircraft; economics; support vector machines; transportation; ICAO; aircraft economic classification; passenger enjoyed services; support vector machine model; Aircraft manufacture; Aircraft propulsion; Economic indicators; Educational institutions; Electronic commerce; Kernel; Machine intelligence; Support vector machine classification; Support vector machines; Testing; SVM; actual loading weight; aircraft classification; maximum takeoff weight (MTOW);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3661-3
  • Type

    conf

  • DOI
    10.1109/ECBI.2009.65
  • Filename
    5189513