Convergence Properties of Learning in ART1
Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang · Neural Computation · 1990
We consider the ART1 neural network architecture. It is shown that in the fast learning case, an ART1 network that is repeatedly presented with an arbitrary list of binary input patterns, self-stabilizes the recognition code of every size-l pattern in at most l list presentations.