• DocumentCode
    585717
  • Title

    Grid Computing based Back Propagation Network

  • Author

    Ansari, Ahlam Shakeel Ahmed ; Devadkar, Kailas K.

  • Author_Institution
    Comput. Eng. Dept., Sardar Patel Inst. of Technol., Mumbai, India
  • fYear
    2012
  • fDate
    19-20 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Back Propagation Network (BPN) is one of the widely used neural network. Despite of worldwide adoption it suffers from performance degradation if the number of training data set and attributes increase. In this paper, we propose a novel method to improve the performance of BPN using Grid Computing. Using grid a set of disparate resources connected through a middleware can be used for increasing the performance of BPN.
  • Keywords
    backpropagation; grid computing; middleware; neural nets; BPN; grid computing-based backpropagation network performance improvement; middleware; neural network; performance degradation; training attributes; training data set; Computers; Conferences; Grid computing; Neural networks; Presses; Training; USA Councils; back propagation; grid computing; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4577-2077-2
  • Type

    conf

  • DOI
    10.1109/ICCICT.2012.6398173
  • Filename
    6398173
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=585717