ORDER OF SEARCH IN FUZZY ART AND FUZZY ARTMAP - EFFECT OF THE CHOICE PARAMETER

This paper focuses on two ART architectures, the Fuzzy ART and the Fuz zy ARTMAP. Fuzzy ART is a pattern clustering machine, while Fuzzy ARTM AP 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 clear er understanding of why, and in what order, these categories are chose n 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 stren gthen this argument, it is worth mentioning that the order according t o which categories are chosen in ART 1 and ARTMAP provided a valuable tool in proving important properties about these architectures. Copyri ght (C) 1996 Elsevier Science Ltd.