• DocumentCode
    525800
  • Title

    The demarcating method of infrared image measuring temperature based on GA-BP network

  • Author

    Wang, Shuaiyin ; Wang, Yajuan ; Zhang, Yongtao

  • Author_Institution
    Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tanshan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    12-13 June 2010
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    According to temperature demarcation of infrared image measuring temperature, one demarcating method based on GA-BP network is proposed in this paper. This method is that the structural parameters of BP neural network is optimized by using genetic algorithm, then the temperature demarcation is carried on through obtained the best structural BP neural network. According to using the global search ability of genetic algorithm and local search ability accurately of BP neural network, so as to improved the accuracy of temperature calibration. It can be seen that through MATLAB simulation tests, using this method carry out temperature demarcation is superior to BP neural network from convergence precision and convergence speed.
  • Keywords
    backpropagation; convergence; genetic algorithms; infrared imaging; neural nets; temperature measurement; BP neural network; MATLAB simulation tests; convergence; demarcating method; genetic algorithm; infrared image temperature measurement; Genetics; Temperature; BP neural network; GA-BP network; Genetic algorithm; Infrared temperature demarcation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6944-4
  • Type

    conf

  • DOI
    10.1109/CCTAE.2010.5543414
  • Filename
    5543414