• DocumentCode
    479773
  • Title

    An Algorithm of Data Fusion Based on Improved BP Natural Network

  • Author

    Jun-na, Qiu ; Xiao-liang, Xu

  • Author_Institution
    Sch. of Comput. Sci. & Software Eng., Hangzhou Dianzi Univ., Hangzhou
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    581
  • Lastpage
    583
  • Abstract
    Data fusion based on feed-forward natural network can get the goal of minimum error, as well as reduce redundant data to transmit and save energy consumption. BP neutral network is considered as one of the most mature algorithm, but the traditional BP algorithm converges slowly and easy traps in a local minimum value, so new improved BP algorithm named algebraic algorithm is put forward. The algebraic algorithm can make a complex nonlinear optimization problems turn to a simple algebraic equation, and the error function will equal to zero. Results show that the algebraic algorithm is higher precision and efficiency than BP algorithm.
  • Keywords
    algebra; backpropagation; neural nets; optimisation; sensor fusion; wireless sensor networks; BP algorithm; BP natural network; algebraic algorithm; complex nonlinear optimization problems; data fusion; energy consumption; error function; feedforward natural network; local minimum value; redundant data; simple algebraic equation; Computer errors; Computer science; Energy consumption; Neural networks; Sensor fusion; Signal processing algorithms; Software algorithms; Software engineering; Temperature sensors; Wireless sensor networks; BP natural network; algebraic algorithm; data fusion; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.895
  • Filename
    4721816