Learning rules for an oscillator network

    Research output: Contribution to journalArticle

    5 Citations (Scopus)

    Abstract

    Two learning rules are studied for a simple oscillator network. One is a Boltzmann-machine-type of supervised learning rule and the other is a generalized Hebbian rule for the self-organization of connections.

    Original languageEnglish
    Pages (from-to)289-292
    Number of pages4
    JournalPhysics Letters A
    Volume174
    Issue number4
    DOIs
    Publication statusPublished - Mar 15 1993

    All Science Journal Classification (ASJC) codes

    • Physics and Astronomy(all)

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