• DocumentCode
    3568108
  • Title

    Information fusion technology based on T-S Fuzzy neural network for coal mine gas prediction

  • Author

    Jinpeng Li ; Li Gao

  • Author_Institution
    Dept. of Mech. Electron., Huainan Union Univ., Huainan, China
  • Volume
    1
  • fYear
    2012
  • Firstpage
    202
  • Lastpage
    205
  • Abstract
    T-S Fuzzy neural network is combined fuzzy logic with neural network. It not only has the ability of fuzzy reasoning, but also has the ability of strong learning. A new fusion method based on T-S fuzzy neural network is present to prediction of coal mine gas in this paper. The nonlinear relationships between factors infected the gas concentration are studied. It can master and capture the internal connection between each factor to realize prediction by using network sample learning. Simulations results indicate that the method which is used in coal mine gas prediction is practicable and effective.
  • Keywords
    accident prevention; coal; fuzzy neural nets; fuzzy reasoning; learning (artificial intelligence); mining; production engineering computing; sensor fusion; T-S fuzzy neural network; coal mine gas prediction; fuzzy logic; fuzzy reasoning; gas concentration; information fusion technology; learning ability; nonlinear relationships; safety prediction; Cola Mines Gas; Fuzzy Neural Network; Information Fusion; Safety Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491635
  • Filename
    6491635