RePART: A Modified Fuzzy ARTMAP for Pattern Recognition

  • Authors:
  • Anne Canuto;Gareth Howells;Michael C. Fairhurst

  • Affiliations:
  • -;-;-

  • Venue:
  • Proceedings of the 6th International Conference on Computational Intelligence, Theory and Applications: Fuzzy Days
  • Year:
  • 1999

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Abstract

Fuzzy ARTMAP has been proposed as a neural network architecture for supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input vectors [12]. In this paper, RePART, a proposal for a variant of Fuzzy ARTMAP is analysed. As in ARTMAP-IC, this variant uses distributed code processing and instance counting in order to calculate the set of neurons used to predict untrained data. However, it additionally uses a reward/punishment process and takes into account every neuron in the calculation process....