An optical learning network with amplitude detection

Chau Jern Cheng, Ken Y. Hsu, Tai Chiung Hsieh, Pochi Yeh

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)


    An optical learning network using photorefractive holograms with grating amplitude detection is presented and demonstrated. The Stoke's principle for light is used to realize both bipolar weight changes and bipolar activities for perceptron learning. The bipolar detection is achieved by using a double Mach-Zehnder interferometer and an electronic subtractor at the output port. Experimental results show that a zero or near to zero threshold value, the network can be trained to dichotomize the input patterns.

    Original languageEnglish
    Title of host publicationOptical Computing
    EditorsFedor V. Karpushko, George V. Sinitsyn, Sergey P. Apanasevich, Andrey M. Goncharenko
    Number of pages12
    ISBN (Electronic)9780819410061
    Publication statusPublished - 1993 Jul 12
    EventTopical Meeting on Optical Computing 1992 - Minsk, Belarus
    Duration: 1992 Jun 291992 Jul 1

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X


    OtherTopical Meeting on Optical Computing 1992

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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