• DocumentCode
    3263997
  • Title

    A quaternary version of the back-propagation algorithm

  • Author

    Nitta, Tohru

  • Author_Institution
    Electrotech. Lab., Tsukuba, Japan
  • Volume
    5
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    2753
  • Abstract
    A quaternary version, of the back-propagation algorithm is proposed for multilayered neural networks whose weights, threshold values, input and output signals are all quaternions. This new algorithm can be used to learn patterns consisted of quaternions in a natural way. An example was used to successfully test the new formulation
  • Keywords
    backpropagation; multilayer perceptrons; vectors; multilayered neural networks; quaternary back-propagation algorithm; quaternions; threshold values; weights; Cities and towns; Computational modeling; Computer vision; Laboratories; Multi-layer neural network; Neural networks; Neurons; Quaternions; Robot vision systems; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.488166
  • Filename
    488166
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3263997