• DocumentCode
    3696017
  • Title

    Prediction of Torpedo Initial Velocity Based on Random Forests Regression

  • Author

    Pukai Wang;Tianyuan Jiang;Gehua Fan;Caihong Dan

  • Author_Institution
    Inst. of Nonlinear Sci., Acad. of Armored Force Eng., Beijing, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    337
  • Lastpage
    339
  • Abstract
    By adopting random forests regression, a prediction model of torpedo initial velocity at launching torpedo is built and variable importance is achieved in this paper. Compared with the measured values, the model has high fitting precision, which shows that random forests regression is an effective way to estimate the Eigen parameter of torpedo interior trajectory.
  • Keywords
    "Predictive models","Regression tree analysis","Fitting","Vegetation","Training","Trajectory","Valves"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
  • Print_ISBN
    978-1-4799-8645-3
  • Type

    conf

  • DOI
    10.1109/IHMSC.2015.17
  • Filename
    7334717