Fuzzy Art Properties

    Authors

    J. X. Huang; M. Georgiopoulos;G. L. Heileman

    Comments

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    Abbreviated Journal Title

    Neural Netw.

    Keywords

    NEURAL NETWORK; PATTERN RECOGNITION; CLUSTERING; LEARNING; ADAPTIVE; RESONANCE THEORY; FUZZY SET THEORY; FUZZY ART; CLASSIFICATION; Computer Science, Artificial Intelligence

    Abstract

    This paper presents some important properties of the Fuzzy ART neural network algorithm introduced by Carpenter, Grossberg, and Rosen. The properties described in the paper are distinguished into a number of categories. These include template, access, and reset properties, as well as properties related to the number of list presentations needed for weight stabilization. These properties provide numerous insights as to how Fuzzy ART operates. Furthermore, the effects of the Fuzzy ART parameters alpha and rho on the functionality of the algorithm are clearly illustrated.

    Journal Title

    Neural Networks

    Volume

    8

    Issue/Number

    2

    Publication Date

    1-1-1995

    Document Type

    Article

    Language

    English

    First Page

    203

    Last Page

    213

    WOS Identifier

    WOS:A1995QN84400003

    ISSN

    0893-6080

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