• DocumentCode
    2206146
  • Title

    Study of objective intelligent recognition based on ANN+DS evidence theory

  • Author

    Qu Dong-Cai ; Zhou, Sheng-Ming ; Shi, Xian-Jun ; Tang, Da-Quan

  • Author_Institution
    Dept. of Autom. Control, Naval Aeronaut. Eng. Inst., Shandong, China
  • fYear
    2004
  • fDate
    21-25 June 2004
  • Firstpage
    283
  • Lastpage
    286
  • Abstract
    The methods of the objector intelligent recognition based on artificial neural networks (ANN) + Dempster-Shafter (D-S) evidence combination theory has been studied in this article. The intelligent recognition tactics has been set forth, and the method and procedure of multisensor data fusion intelligent recognition on account of calculating case has been presented; Because D-S evidence combination theory is another important uncertainty inducing method different from information processing by neural network, it is applied widely in intelligent information processing, and highly practical in engineering. On concisely introducing the Dempster-Shafer evidence combination theory frame, last put forward some questions to be inquired.
  • Keywords
    neural nets; object recognition; sensor fusion; uncertainty handling; Dempster-Shafter evidence combination theory; artificial neural network; intelligent information processing; multisensor data fusion intelligent recognition; objective intelligent recognition; Aerospace engineering; Artificial intelligence; Artificial neural networks; Information processing; Intelligent networks; Neural networks; Parallel processing; Pattern recognition; Space technology; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Acquisition, 2004. Proceedings. International Conference on
  • Print_ISBN
    0-7803-8629-9
  • Type

    conf

  • DOI
    10.1109/ICIA.2004.1373370
  • Filename
    1373370