An Efficient Mapping of Fuzzy Art Onto a Neural Architecture

  • M. Blume
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 43)


It is possible to eliminate the reset/resonance cycle of many of the ART algorithms without modifying their learning or classification rules. The enabling principle is to check the vigilance criterion before comparing the choice functions, rather than vice versa. This re-ordering of operations reduces the computational complexity. It leads to a simpler neural architecture that is better suited to parallel implementation and facilitates understanding the algorithm.


Input Vector Choice Function Match Criterion Efficient Mapping Neural Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • M. Blume
    • 1
  1. 1.HNC Software, Inc.San DiegoUSA

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