• DocumentCode
    2613907
  • Title

    Intelligent processing algorithm of testing the dangerous situation

  • Author

    Xichuan, Lin ; Yingying, Ren

  • Author_Institution
    Network Manage. Center, Henan Polytech. Inst., Nanyang, China
  • Volume
    5
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    2540
  • Lastpage
    2544
  • Abstract
    In real life, we can judge many dangerous situation whether it happens or not according to the analysis of some signals, thus to avoid heavy losses. First this paper introduces the advantages of using Multi-sensor. After the signal pretreatment, the output of these sensors combine with knowledge expression ability of fuzzy control and self-learning adaptive ability of neural network, and then be used to the research of indoors status by combining these technology and computer technology. The purposes of the study is to increase the intellectualized degree of detection, raise the system detection rate and fall the error alarm rate when the dangerous conditions appeard. At last, through an example, use matlab simulation to verify the reliability of this method.
  • Keywords
    fuzzy control; fuzzy neural nets; learning (artificial intelligence); sensor fusion; dangerous situation testing; error alarm rate; fuzzy control; intelligent processing algorithm; knowledge expression ability; multisensor system; neural network; self-learning adaptive ability; signal pretreatment; Biological neural networks; Fires; Fuzzy control; Fuzzy neural networks; Mathematical model; Neurons; Sensors; Multi-sensor; fuzzy control; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100775
  • Filename
    6100775