• DocumentCode
    3347919
  • Title

    A target recognition method combining neural network with fuzzy decision in static target acquisition

  • Author

    Xiaoming, Zhao

  • Author_Institution
    Beijing Comput. Appl. & Simulation Technol. Inst., China
  • fYear
    1994
  • fDate
    5-9 Dec 1994
  • Firstpage
    700
  • Lastpage
    703
  • Abstract
    Static target recognition in a complex background (STRCB) is a very difficult problem. Although we have applied a neural network to our target recognition system and have previously improved system´s target recognition ability to some degree, the applied neural network and the target decision method were still simple. A new target recognition method for STRCB which has greatly improved the system´s target recognition accuracy is introduced in this paper. It includes a compound neural network and three fuzzy decision criteria. The configuration of the system and that of the neural network are proposed in this paper. The results of a simulation experiment are presented as well
  • Keywords
    flowcharting; fuzzy neural nets; military computing; object recognition; radar target recognition; complex background; compound neural network; fuzzy decision criteria; recognition accuracy; simulation; static target acquisition; target recognition method; Ambient intelligence; Computational modeling; Computer applications; Computer simulation; Fuzzy neural networks; Image coding; Intelligent networks; Neural networks; Pattern recognition; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 1994., Proceedings of the IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    0-7803-1978-8
  • Type

    conf

  • DOI
    10.1109/ICIT.1994.467051
  • Filename
    467051