• DocumentCode
    2944271
  • Title

    Research on Modeling for Hydraulic Retarder Internal Pressure Based on Artificial Neural Network

  • Author

    Yan, Jun ; Guo, Xuexun

  • Author_Institution
    Sch. of Automotive Eng., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    298
  • Lastpage
    301
  • Abstract
    This paper discusses the method of modeling for hydraulic retarder internal pressure and determines a method based on artificial neural network (ANN). For modeling based on ANN, the detailed settings and key points are expatiated. Through data extrapolating and comparison with test data, the rationality of ANN internal pressure model is proved.
  • Keywords
    hydraulic systems; neural nets; pressure control; ANN; Matlab statistics toolbox; artificial neural network; hydraulic retarder internal pressure; Artificial neural networks; Automotive engineering; Impellers; Mathematical model; Neurofeedback; Paper technology; Petroleum; Testing; Torque control; Vehicles; Artificial Neuarl Network; hydraulic retarder; internal pressure; modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.658
  • Filename
    5203205