FUZZY ART PROPERTIES

This paper presents some important properties of the Fuzzy ART neural network algorithm introduced by Carpenter, Grossberg, and Rosen. The p roperties described in the paper are distinguished into a number of ca tegories. These include template, access, and reset properties, as wel l as properties related to the number of list presentations needed for weight stabilization. These properties provide numerous insights as t o how Fuzzy ART operates. Furthermore, the effects of the Fuzzy ART pa rameters alpha and rho on the functionality of the algorithm are clear ly illustrated.