• DocumentCode
    2264383
  • Title

    Research on NFE Model of Multi-Sensor Information Fusion

  • Author

    Fan, Tiantian ; Zong, Hua ; Yu, Changjun ; Liu, Mei ; Quan, Taifan

  • Author_Institution
    Res. Inst. of Electron. Eng. Technol., Harbin
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    394
  • Lastpage
    398
  • Abstract
    To study information fusion method under complex environment, a highly intelligent information fusion model is put forward- the NFE model. This model is an organic combination of neural network, fuzzy reasoning and expert system. Considering various factors which influence the performance of sensor, the NFE confidence estimator is presented from the engineering application point of view. This paper presents principles, frameworks as well as key algorithms of the NFE model, and makes a comparison between the NFE model and traditional fuzzy neural network model. Simulation experiments prove that the NFE model can realize target recognition more effectively against sensor failures and strong interference, and the results are more reliable.
  • Keywords
    expert systems; fuzzy reasoning; neural nets; object recognition; sensor fusion; NFE model; confidence estimator; expert system; fuzzy reasoning; multisensor information fusion; neural network; target recognition; Artificial intelligence; Expert systems; Fuzzy neural networks; Fuzzy reasoning; Humans; Intelligent sensors; Neural networks; Sensor phenomena and characterization; Sensor systems; State estimation; expert system; fuzzy reasoning; information fusion; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.553
  • Filename
    4739793