Hierarchical ARTMAP

Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations


We present a modification to the Fuzzy ARTMAP neural network architecture for conducting classification in a probabilistic setting. We call this new architecture Hierarchical ARTMAP (HARTMAP). Performance comparisons with Fuzzy ARTMAP, Gaussian ARTMAP and Boosted ARTMAP on some simple two-class problems are discussed. Experimental results indicate that HARTMAP yields better generalization results on problems involving overlap of the underlying pattern distributions.

Original languageEnglish (US)
Number of pages6
StatePublished - 2000
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy
Duration: Jul 24 2000Jul 27 2000


ConferenceInternational Joint Conference on Neural Networks (IJCNN'2000)
CityComo, Italy

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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