Fuzzy ART properties

-This paper presents some important properties o f the Fuzzy ART neural network algorithm introduced by Carpenter, Grossberg, and Rosen. The properties described in the paper are distinguished into a number o f categories. These include template, access, and reset properties, as well as properties related to the number of list presentations needed for weight stabilization. These properties provide numerous insights as to how Fuzzy ART operates. Furthermore, the effects o f the Fuzzy ART parameters a and p on the functionality of the algorithm are clearly illustrated. Keywords--Neural network, Pattern recognition, Clustering, Learning, Adaptive resonance theory, Fuzzy set theory, Fuzzy ART.