Convergence monitoring in generalized Hebbian learning

Andrew P. Paplinski

    Research output: Contribution to conferencePaper

    1 Citation (Scopus)

    Abstract

    In this paper we discuss monitoring of the convergence of the Generalized Hebbian Learning algorithm which performs Principal Component Analysis, or the Karhunen-Loeve transform. We start with presentation of the details of the internal structure of the algorithm. Next we consider a number of inter-related convergence conditions. Finally, we present example of image coding algorithm in which those conditions are verified.

    Original languageEnglish
    Pages1372-1376
    Number of pages5
    Publication statusPublished - 1 Jan 1998
    EventIEEE International Joint Conference on Neural Networks 1998 - Anchorage, United States of America
    Duration: 4 May 19989 May 1998
    https://ieeexplore.ieee.org/xpl/conhome/5607/proceeding (Proceedings)

    Conference

    ConferenceIEEE International Joint Conference on Neural Networks 1998
    Abbreviated titleIJCNN 1998
    CountryUnited States of America
    CityAnchorage
    Period4/05/989/05/98
    OtherPublished in the World Congress Computational Intelligence'98 Proceedings of the IJCNN'98, FUZZ-IEEE'98, ICEC'98.
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