• DocumentCode
    949706
  • Title

    Optical processing in neural networks

  • Author

    Casasent, David

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie MelIon Univ., Pittsburgh, PA, USA
  • Volume
    7
  • Issue
    5
  • fYear
    1992
  • Firstpage
    55
  • Lastpage
    61
  • Abstract
    Hybrid neural network hardware and several algorithms that use optical processing at various stages for image processing and pattern recognition are described. The implementations of the algorithms in associative processors, optimization neural networks, symbolic correlator neural networks, production system neural networks, and adaptive neural networks are discussed. Some of the optical processing concepts used in the networks are presented.<>
  • Keywords
    image processing; image recognition; neural chips; optical neural nets; adaptive neural networks; associative processors; hybrid neural net hardware; image processing; optical processing; optical processing concepts; optimization neural networks; pattern recognition; production system neural networks; symbolic correlator neural networks; Detectors; Fourier transforms; Intelligent networks; Lenses; Neural networks; Neurons; Optical fiber networks; Optical filters; Optical interconnections; Optical modulation;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.163673
  • Filename
    163673
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=949706