Publication:
Function Approximation with ARTMAP Architectures

dc.contributor.authorLucian M. Sasu
dc.contributor.authorRăzvan Andonie
dc.date.accessioned2025-09-23T04:44:24Z
dc.date.issued2012-09-14
dc.description.abstractWe 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.
dc.identifier.citation@article{sasu2012function, title={Function approximation with ARTMAP architectures}, author={Sasu, Lucian M and Andonie, R{\u{a}}zvan}, journal={INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS \& CONTROL}, volume={7}, number={5}, pages={957--967}, year={2012} }
dc.identifier.issn1841-9844
dc.identifier.other1841-9836
dc.identifier.urihttps://repository.unitbv.ro/handle/123456789/1919
dc.language.isoen_US
dc.publisherInternational Journal of Computers Communications & Control
dc.subjectfuzzy ARTMAP
dc.subjectuniversal approximation
dc.subjectregression.
dc.titleFunction Approximation with ARTMAP Architectures
dc.typeArticle
dspace.entity.typePublication

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