Adaptive resonance theory networks in the Encephalon autonomous vision system
Thomas P. Caudell, M. J. R. Healy · 2002
A complex neural architecture called the Encephalon is presented as an example of a network that makes extensive use of adaptive resonance theory (ART) networks. The Encephalon is a machine vision system that autonomously learns object classification inference rules, and makes extensive use of the interplay between the bottom-up and top-down flow of information. This paper describes the components of the Encephalon and presents preliminary simulation results.>