• DocumentCode
    354236
  • Title

    The application of neural networks for the army oil supply

  • Author

    Xianfu, Yu ; Pengcheng, Zhao ; Li, Wang

  • Author_Institution
    Air Force Logistics Coll., Xuzhou, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1165
  • Abstract
    This article adopts two developed methods-Hopfield networks (HN) and self-organization networks (SONN)-to find the most appropriate supply-center for the army to use for the supply of petroleum. 2 methods are discussed and are compared with the traditional optimum technique
  • Keywords
    Hopfield neural nets; logistics data processing; self-organising feature maps; stock control data processing; HN; Hopfield neural networks; SONN; army oil supply; optimum technique; self-organization neural networks; Neural networks; Petroleum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.863425
  • Filename
    863425
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=354236