Function Approximation with ARTMAP Architectures

Abstract: We analyze function approximation (regression) capability of Fuzzy ARTMAP (FAM) architectures- well-known incremental learning neural networks. We focus especially on the universal approximation property. In our experiments, we compare the regression performance of FAM networks with other standard neu-ral models. It is the first time that ARTMAP regression is overviewed, both from theoretical and practical points of view