Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter

Author(s): Bebis, G. | Fernlund, H. | Georgiopoulos, M. | Heileman, G.L. |

Year: 1996

Citation: Effect of the Choice Parameter. Volume 9, Issue 9, Pages 1541-1559

Abstract: 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 ARTa 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.

Topics: Machine Learning, Models: ART 2 / Fuzzy ART, Fuzzy ARTMAP,

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