• DocumentCode
    351054
  • Title

    Distortion invariant selective attention adaptive resonance theory neural network

  • Author

    Westmacott, Jason ; Lozo, Peter ; Jain, Lakhmi

  • Author_Institution
    Knowledge-Based Intelligent Eng Syst. Centre, Univ. of South Austalia, Mawson Lakes, SA, Australia
  • fYear
    1999
  • fDate
    36495
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    This paper presents an extension to the SAART (selective-attention adaptive resonance theory) neural network to allow distortion invariance. This extended SAART model is now capable of recognising distorted 2D shapes in cluttered environments. This new capability is demonstrated using simulations
  • Keywords
    ART neural nets; image recognition; invariance; noise; simulation; SAART neural network; cluttered environments; distorted 2D shape recognition; distortion invariance; feedforward excitation-feedback presynaptic facilitation; selective-attention adaptive resonance theory; simulation; Artificial neural networks; Australia; Circuits; Image edge detection; Intelligent systems; Neural networks; Pattern recognition; Resonance; Shape; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-5578-4
  • Type

    conf

  • DOI
    10.1109/KES.1999.820107
  • Filename
    820107
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=351054