• DocumentCode
    323367
  • Title

    Initial weight selection methods for self-organizing training

  • Author

    Han, Liqun

  • Author_Institution
    Dept. of Autom. Eng., Beijing Inst. of Light Ind., China
  • Volume
    1
  • fYear
    1997
  • fDate
    28-31 Oct 1997
  • Firstpage
    404
  • Abstract
    Two initial weight selection methods for self organizing training of neural nets are introduced. These methods can improve the chances for successful training and speed up training processes remarkably. Two successful examples are given to show that these weight selection methods work well
  • Keywords
    learning (artificial intelligence); neural nets; self-adjusting systems; initial weight selection methods; neural nets; self organizing training; Aerospace industry; Automation; Belts; Industrial training; Light scattering; Neurons; Organizing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4253-4
  • Type

    conf

  • DOI
    10.1109/ICIPS.1997.672810
  • Filename
    672810
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=323367