• DocumentCode
    1699371
  • Title

    New high performance materials applied to electrical engineering computation software package and its applications

  • Author

    Hou, Shuping ; Yang, Qingxin ; Chen, Haiyan ; Yan, Rongge ; Yang, Wenrong ; Li, Jianwei

  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Computation software package realizes modularity design of modeling for new high performance materials applied to electrical engineering for the first time. Using fuzzy neural networks control (FNNC), the assumption of self-learning function is realized. This software package provides theoretical basis and device performance simulation methods for these materials application. In this paper, taking accelerometer based on magnetorhelogocal fluid (MRF) as an example, simulation is made by computation software package for new high performance materials applied to electrical engineering. And from the results, a conclusion can be made that it is feasible and provide reference assistance for MRF used in accelerometer.
  • Keywords
    electrical engineering computing; fuzzy neural nets; neurocontrollers; software packages; electrical engineering computation software package; fuzzy neural networks control; high performance materials; magnetorhelogocal fluid; self-learning function; Accelerometers; Application software; Computational modeling; Electrical engineering; Electrical engineering computing; Fuzzy control; Fuzzy neural networks; High performance computing; Magnetic materials; Software packages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Conference_Location
    Hawaii, HI
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4699163