• DocumentCode
    2085295
  • Title

    Online modeling for rotational speed of helicopter rotor based on Support Vector Machine

  • Author

    Wang, Shuzhou ; San, Ye ; Wang, Shuwen

  • Author_Institution
    Control & Simulation Centre, Harbin Inst. of Technol., Harbin, China
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    987
  • Lastpage
    990
  • Abstract
    Support vector machine is a new method developed recently. It has shown good performance in many field and mostly outperformed neural networks. So SVM is introduced to the field of intelligent modeling of helicopter, and an online modeling method for helicopter based on SVM is proposed. It is shown by simulation that the online SVM modeling method leads to a significant speed up in the training process, whilst maintain the generalization precision.
  • Keywords
    aerospace computing; helicopters; support vector machines; SVM; helicopter rotor rotational speed; intelligent modeling; online modeling method; support vector machine; Aerodynamics; Aerospace simulation; Helicopters; Intelligent systems; Kernel; Knowledge engineering; Machine intelligence; Neural networks; Rotors; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4731073
  • Filename
    4731073