Order Of Search In Fuzzy Art And Fuzzy Artmap: Effect Of The Choice Parameter

    Authors

    M. Georgiopoulos; H. Fernlund; G. Bebis;G. L. Heileman

    Comments

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    Abbreviated Journal Title

    Neural Netw.

    Keywords

    Neural Network; Clustering; Classification; Learning; Adaptive Resonance; Theory; Fuzzy Art; Fuzzy Artmap; Neural Network; Architecture; Classification; Patterns; Computer Science, Artificial Intelligence

    Abstract

    This paper focuses on two ART architectures, the Fuzzy ART and the Fuzzy ARTMAP. Fuzzy ART is a pattern clustering machine, while Fuzzy ARTMAP is a pattern classification machine. Our study concentrates on the order according to which categories in Fuzzy ART, or the ART(a) model of Fuzzy ARTMAP are chosen. Our work provides a geometrical, and clearer understanding of why, and in what order, these categories are chosen for various ranges of the choice parameter of the Fuzzy ART module. This understanding serves as a powerful tool in developing properties of learning pertaining to these neural network architectures; to strengthen this argument, it is worth mentioning that the order according to which categories are chosen in ART 1 and ARTMAP provided a valuable tool in proving important properties about these architectures. Copyright (C) 1996 Elsevier Science Ltd.

    Journal Title

    Neural Networks

    Volume

    9

    Issue/Number

    9

    Publication Date

    1-1-1996

    Document Type

    Article

    Language

    English

    First Page

    1541

    Last Page

    1559

    WOS Identifier

    WOS:A1996WA73500006

    ISSN

    0893-6080

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