• DocumentCode
    988579
  • Title

    Optical neural networks

  • Author

    Caulfield, H. John ; Kinser, Jason ; Rogers, Steven K.

  • Author_Institution
    Center for Appl. Opt., Alabama Univ., Huntsville, AL, USA
  • Volume
    77
  • Issue
    10
  • fYear
    1989
  • fDate
    10/1/1989 12:00:00 AM
  • Firstpage
    1573
  • Lastpage
    1583
  • Abstract
    Classical optical information processing and classical neural networks can be adapted and combined to create optical neural networks which offer significant and fundamental advantages over electronic neural networks in various well-defined cases. A systematic morphology of optical neural networks is presented. Special problems they create are discussed. The state of the art of their implementation is indicated, and some supportable speculations on their future are given
  • Keywords
    neural nets; optical information processing; implementation; optical neural networks; systematic morphology; Biological information theory; Biological neural networks; Biology computing; Biomedical optical imaging; Information processing; Military computing; Neural networks; Neurons; Optical computing; Optical fiber networks;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/5.40669
  • Filename
    40669