• DocumentCode
    502834
  • Title

    Study on the model of aircraft economic classification based on wavelet recursive least square support vector machine(WRLS-SVM)

  • Author

    Kong, Ling-Yu ; Zhao, Shu-Long ; Jiang, Bo ; Li, Xiao-Jin

  • Author_Institution
    Civil Aviation Univ. of China, Tianjin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    38
  • Lastpage
    41
  • Abstract
    Aircraft economic classification has played a fundamental role in field of civil aviation. Aiming at encourage the sustainable development of the air transport industry, the model of aircraft economic classification is set up based on the theory of wavelet recursive least square support vector machine (WRLS-SVM) according to the principle of ICAO, which named as ldquouser paid for by himselfrdquo. 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
    economics; least squares approximations; military aircraft; pattern classification; support vector machines; sustainable development; wavelet transforms; China; ICAO principle; MTOW; WRLS-SVM; air transport industry; aircraft economic classification model; civil aviation; maximum takeoff weight; passenger-enjoyed service; sustainable development; testing result; user-paid-for-by-himself principle; wavelet recursive least square support vector machine; Aerospace control; Aircraft manufacture; Aircraft propulsion; Communication system control; Economic indicators; Electronic mail; Kernel; Least squares methods; Support vector machine classification; Support vector machines; WRLS-SVM; actual loading weight; aircraft classification; maximum takeoff weight (MTOW);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5268014
  • Filename
    5268014