Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/450
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dc.contributor.authorDagher, Issamen_US
dc.date.accessioned2020-12-23T08:30:37Z-
dc.date.available2020-12-23T08:30:37Z-
dc.date.issued2003-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/450-
dc.description.abstractIn this paper, a comparative study of the category choice of the Fuzzy ART with the L-1 norm is presented. It is shown that the category choice can be replaced by a distance measure related to the L-1 norm. This distance measure will have the following advantages over the category choice of the Fuzzy ART network: 1) no need for augmenting the dimensions of the input patterns. The distance measure will operate directly on the input patterns without the need for doing complement coding; and 2) no need for normalizing the input patterns. The input patterns need not to be in the interval.en_US
dc.format.extent6 p.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectFuzzy neural netsen_US
dc.subjectCategory theoryen_US
dc.subjectART neural netsen_US
dc.subjectLearning (artificial intelligence)en_US
dc.titleA comparative study of the category choice of the fuzzy ART with the L -1 normen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Joint Conference on Neural Networks (20-24 July 2003 : Portland, OR, USA)en_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.description.startpage1969en_US
dc.description.endpage1974en_US
dc.date.catalogued2018-02-20-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/document/1223709/en_US
dc.identifier.OlibID177910-
dc.relation.ispartoftextProceedings of the International Joint Conference on Neural Networks, 2003en_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Computer Engineering
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