• DocumentCode
    3636089
  • Title

    A geometric method to obtain error-correcting classification by neural networks with fewer hidden units

  • Author

    V. Kurkova;P.C. Kainen

  • Author_Institution
    Inst. of Comput. Sci., Acad. of Sci., Prague, Czech Republic
  • Volume
    2
  • fYear
    1996
  • Firstpage
    1227
  • Abstract
    Coding the output of a neural network can reduce the output dimension but may also increase the requirements for approximation accuracy tolerated by error-correcting. Using a generalization of orthogonality, we propose a method for error-correcting classification by feedforward neural networks that reduces the number of hidden units for a variety of classes of patterns.
  • Keywords
    "Neural networks","Feedforward neural networks","Multi-layer neural network","Computer errors","Computer science","Electronic mail","Computer industry","Postal services","Mouth","Face recognition"
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.549073
  • Filename
    549073
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3636089