• DocumentCode
    289394
  • Title

    Hierarchical competitive net architecture

  • Author

    Long, Theresa W. ; Hanzevack, Emil L.

  • Author_Institution
    NeuroDyne Inc., Williamsburg, VA, USA
  • fYear
    1994
  • fDate
    25-27 May 1994
  • Abstract
    Hypersonic aircraft require a high degree of system integration. Design tools are needed that can provide rapid, accurate calculations of complex fluid flow. Existing methods are slow. The goal of this project was to apply neural networks to the calculation of fluid flow and heat transfer in a heat exchanger panel for the National AeroSpace Plane (NASP)
  • Keywords
    CAD; aerospace computing; aircraft; heat exchangers; heat transfer; neural nets; NASP; National AeroSpace Plane; complex fluid flow; heat exchanger panel; heat transfer; hierarchical competitive net architecture; hypersonic aircraft; neural networks; system integration;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Neural Networks for Control and Systems, IEE Colloquium on
  • Conference_Location
    Berlin
  • Type

    conf

  • Filename
    381756
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=289394