Fuzzy Art Properties
Abbreviated Journal Title
NEURAL NETWORK; PATTERN RECOGNITION; CLUSTERING; LEARNING; ADAPTIVE; RESONANCE THEORY; FUZZY SET THEORY; FUZZY ART; CLASSIFICATION; Computer Science, Artificial Intelligence
This paper presents some important properties of the Fuzzy ART neural network algorithm introduced by Carpenter, Grossberg, and Rosen. The properties described in the paper are distinguished into a number of 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 of the Fuzzy ART parameters alpha and rho on the functionality of the algorithm are clearly illustrated.
"Fuzzy Art Properties" (1995). Faculty Bibliography 1990s. 1366.