Important Adaptive Resonance Theory Networks

Description:-The ART comes in several varieties. They belong to both unsupervised and supervised form of learning. Unsupervised ARTs are named as ART1, ART2, and ART3. . And are similar to many iterative clustering algorithms.

− ART1 model (1987) designed to cluster binary input patterns.

− ART2 model (1987) developed to cluster continuous input patterns.

− ART3 model (1990) is the refinement of these two models.

Supervised ARTs are named with the suffix "MAP", as ARTMAP, that combines two slightly modified ART-1 or ART-2 units to form a supervised learning model where the first unit takes the input data and the second unit takes the correct output data. The algorithms cluster both the inputs and targets, and associate the two sets of clusters.

Fuzzy ART and Fuzzy ARTMAP are generalization using fuzzy logic. Taxonomy of important ART networks are shown below.