Department or Administrative Unit
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 neural models. It is the first time that ARTMAP regression is overviewed, both from theoretical and practical points of view.
SASU, Lucian M.; ANDONIE, Răzvan. Function Approximation with ARTMAP Architectures. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 7, n. 5, p. 957-967, sep. 2014. ISSN 1841-9844. Available at: . doi: https://doi.org/10.15837/ijccc.2012.5.1355.
International Journal of Computers Communications & Control
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