• DocumentCode
    155006
  • Title

    The optimization of artificial neural network architecture by genetic algorithms to process the vector signal of gas-analytical multisensor array

  • Author

    Dykin, V.S. ; Musatov, V.Yu. ; Sysoev, V.V. ; Varezhnikov, A.S.

  • Author_Institution
    Yuri Gagarin State Tech. Univ. of Saratov, Saratov, Russia
  • Volume
    2
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    51
  • Lastpage
    54
  • Abstract
    This paper considers the method to increase a performance of gas recognition by multisensor array. The described algorithmic method employs a genetic algorithm for finding optimal parameters of artificial neural network.
  • Keywords
    gas sensors; genetic algorithms; neural nets; sensor fusion; artificial neural network architecture; gas recognition; gas-analytical multisensor array; genetic algorithms; optimization; vector signal; Arrays; Artificial neural networks; Educational institutions; Electronic mail; Genetic algorithms; Optimization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Actual Problems of Electron Devices Engineering (APEDE), 2014 International Conference on
  • Conference_Location
    Saratov
  • Print_ISBN
    978-1-4799-3437-9
  • Type

    conf

  • DOI
    10.1109/APEDE.2014.6958214
  • Filename
    6958214
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=155006