• DocumentCode
    1496129
  • Title

    Comments on "Classification ability of single hidden layer feedforward neural networks"

  • Author

    Sandberg, I.W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • Volume
    12
  • Issue
    3
  • fYear
    2001
  • fDate
    5/1/2001 12:00:00 AM
  • Firstpage
    642
  • Lastpage
    643
  • Abstract
    The original paper, by Huang, Chen Babri (ibid., vol.11, p.799-801, 2000), addresses a certain classification problem, and concludes that classification can be achieved using a single hidden layer neural network. It is stated that the author previously presented conclusions along similar lines in a more general setting ("General structures for classification," IEEE Trans. Circuits Syst. I, vol.41, p.372-6, 1994).
  • Keywords
    feedforward neural nets; multilayer perceptrons; pattern classification; classification ability; single hidden layer feedforward neural networks; Artificial neural networks; Boolean functions; Feedforward neural networks; Hypercubes; Linear programming; Neural networks; Neurons; Supervised learning;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.925569
  • Filename
    925569
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1496129