Order Of Search In Fuzzy Art And Fuzzy Artmap: Effect Of The Choice Parameter
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Neural Network; Clustering; Classification; Learning; Adaptive Resonance; Theory; Fuzzy Art; Fuzzy Artmap; Neural Network; Architecture; Classification; Patterns; Computer Science, Artificial Intelligence
This paper focuses on two ART architectures, the Fuzzy ART and the Fuzzy ARTMAP. Fuzzy ART is a pattern clustering machine, while Fuzzy ARTMAP 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 clearer understanding of why, and in what order, these categories are chosen 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 strengthen this argument, it is worth mentioning that the order according to which categories are chosen in ART 1 and ARTMAP provided a valuable tool in proving important properties about these architectures. Copyright (C) 1996 Elsevier Science Ltd.
Georgiopoulos, M.; Fernlund, H.; Bebis, G.; and Heileman, G. L., "Order Of Search In Fuzzy Art And Fuzzy Artmap: Effect Of The Choice Parameter" (1996). Faculty Bibliography. 1639.