• DocumentCode
    2433447
  • Title

    Reentrant pulse coupled neural networks (PCNNs)

  • Author

    Allen, Frank ; Caulfield, H. John

  • Author_Institution
    Dept. of Phys., Alabama A&M Univ., Normal, AL, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    1291
  • Abstract
    The PCNN developed by Johnson (1993) are syntactic pattern transformers. Hence their outputs are quite similar over a wide variety of “distortions”. We show that we can convert a PCNN into an attractor system which, away from boundaries, produces point attractor icons which are ideal inputs to statistical pattern processors
  • Keywords
    image processing; neural nets; statistical analysis; attractor system; point attractor icons; pulse coupled neural networks; statistical pattern processors; syntactic pattern transformers; Convergence; Data mining; Humans; Image converters; Image segmentation; Neural networks; Pattern recognition; Physics; Prototypes; Pulse transformers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374370
  • Filename
    374370
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2433447