1. DSpaceCRIS@UNITEN
  2. College of Engineering
  3. COE Scholarly Publication
Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/8888
DC FieldValueLanguage
dc.contributor.authorLeow, S.Y.en_US
dc.contributor.authorWong, S.Y.en_US
dc.contributor.authorYap, K.S.en_US
dc.contributor.authorYap, H.J.en_US
dc.date.accessioned2018-02-21T04:41:44Z-
dc.date.available2018-02-21T04:41:44Z-
dc.date.issued2017-
dc.description.abstractIn this paper, a new online learning algorithm is proposed to learn a data sample in hybrid mode. This new algorithm is developed and referred as Growing and Pruning - Fuzzy ARTMAP-radial basis function (GAP-FAM-RBF) neural network. In this algorithm, fuzzy ARTMAP (FAM) network learns from training samples and radial basis function (RBF) network provides viable solutions. The GAP-FAM-RBF that proposed is able to learn online from the first data samples. The insignificant hidden neurons will be pruned. The performance of this algorithm is evaluated on regression applications. © 2016 IEEE.
dc.language.isoenen_US
dc.titleA new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategyen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/ICSGRC.2016.7813294-
item.grantfulltextnone-
item.fulltextNo Fulltext-
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