• DocumentCode
    1578494
  • Title

    An optical adaptive resonance neural network utilizing phase conjugation

  • Author

    Wunsch, Donald C., II ; Morris, D.J. ; Caudell, Thomas P. ; Falk, R. Aaron

  • Author_Institution
    Boeing Co., Seattle, WA, USA
  • fYear
    1992
  • Firstpage
    615
  • Abstract
    An adaptive resonance (ART) device has been conceived that is fully optical in the input-output processing path. It is based on holographic information processing in a phase-conjugating crystal. This sets up an associative pattern retrieval in a resonating loop utilizing angle-multiplexed reference beams for pattern classification. A reset mechanism is used to reject any given beam, allowing an ART search strategy. The design is similar to an existing nonlearning optical associative memory, but it does allow learning and makes use of information the other device discards. This device is expected to offer higher information storage density than alternative ART implementations
  • Keywords
    adaptive optics; holographic storage; optical neural nets; optical phase conjugation; pattern recognition; angle-multiplexed reference beams; associative pattern retrieval; holographic information processing; optical adaptive resonance neural network; pattern classification; phase conjugation; phase-conjugating crystal; reset mechanism; Adaptive optics; Adaptive systems; Holographic optical components; Holography; Neural networks; Optical computing; Optical devices; Optical fiber networks; Resonance; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
  • Conference_Location
    Rostov-on-Don
  • Print_ISBN
    0-7803-0809-3
  • Type

    conf

  • DOI
    10.1109/RNNS.1992.268572
  • Filename
    268572