A content-addressable polychromatic neural net using a (Ce:Fe)-doped LiNbO3 photorefractive crystal

Francis T.S. Yu, Shizhuo Yin, C. M. Uang

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations

    Abstract

    A polychromatic neural net using a (Ce:Fe)-doped LiNbO3 photorefractive crystal is presented. This neural net is a two-level high-content addressable memory. The first level is a polychromatic Hamming net for color image classification, and the second level is a mapping net, based on a photorefractive crystal associative memory. The major advantage of this neural net is the large storage capacity and it requires a fewer interconnection links. Experimental demonstrations are provided, in which is shown that the proposed neural net is consistent with the theoretical model.

    Original languageEnglish (US)
    Pages (from-to)300-308
    Number of pages9
    JournalOptics Communications
    Volume107
    Issue number3-4
    DOIs
    StatePublished - Apr 15 1994

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics
    • Physical and Theoretical Chemistry
    • Electrical and Electronic Engineering

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