• DocumentCode
    2172843
  • Title

    Spiking neural network for control chart pattern recognition

  • Author

    Pham, D.T. ; Packianather, M.S. ; Charles, E.Y.A.

  • Author_Institution
    Manuf. Eng. Centre, Cardiff Univ., Cardiff, UK
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    1392
  • Lastpage
    1397
  • Abstract
    Temporal coding spiking neural networks are receiving wider attention due to their computational power. The coincidence detection property of a spiking neuron, which has no counterpart in a sigmoidal neuron, is one of the reasons for that power. This feature can be utilised to store input information in a network´s connection delays and to detect input patterns accurately and efficiently.
  • Keywords
    control charts; delays; encoding; neurocontrollers; pattern recognition; process control; coincidence detection property; control chart pattern recognition; network connection delays; sigmoidal neuron; temporal coding spiking neural networks; Accuracy; Biological neural networks; Control charts; Delays; Neurons; Pattern recognition; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068986