Cascade fuzzy ART: a new extensible database for model-based object recognition
Hai-Lung Hung, Hong-Yuan Mark Liao, Shing-Jong Lin, Wei‐Chung Lin, Kuo‐Chin Fan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
In this paper, we propose a cascade fuzzy ART (CFART) neural network which can be used as an extensible database in a model-based object recognition system. The proposed CFART networks can accept both binary and continuous inputs. Besides, it preserves the prominent characteristics of a fuzzy ART network and extends the fuzzy ART's capability toward a hierarchical class representation of input patterns. The learning processes of the proposed network are unsupervised and self-organizing, which include coupled top-down searching and bottom-up learning processes. In addition, a global searching tree is built to speed up the learning and recognition processes.