• DocumentCode
    1932504
  • Title

    A Note on the Fast BRAIN Learning Algorithm

  • Author

    Xu, Shuo ; Tao, Lan ; An, Xin ; Li, Lin

  • Author_Institution
    Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    47
  • Lastpage
    51
  • Abstract
    In this paper, an underlying problem on the fast BRAIN learning algorithm is pointed out, which is avoided by introducing the quantity count (middot, middot). In addition, its speed advantage can still be enjoyed only at a cost of a little additional space. The improved fast BRAIN learning algorithm is also given, and the experiments on NN269 dataset validate our analysis.
  • Keywords
    biology computing; learning (artificial intelligence); NN269 dataset; fast BRAIN learning algorithm; quantity count; Agricultural engineering; Algorithm design and analysis; Biomedical engineering; Biomedical informatics; Costs; Data analysis; Educational institutions; International trade; Learning; Neural networks; BRAIN; Numerical Computation; Splice Sites Prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-0-7695-3118-2
  • Type

    conf

  • DOI
    10.1109/BMEI.2008.79
  • Filename
    4548633
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1932504