Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2349
DC FieldValueLanguage
dc.contributor.authorDagher, Issamen_US
dc.contributor.authorGeorgiopoulos, Men_US
dc.contributor.authorHeileman, G.Len_US
dc.date.accessioned2020-12-23T09:11:37Z-
dc.date.available2020-12-23T09:11:37Z-
dc.date.issued1999-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/2349-
dc.description.abstractWe introduce a procedure, based on the max-min clustering method, that identifies a fixed order of training pattern presentation for fuzzy adaptive resonance theory mapping (ARTMAP). This procedure is referred to as the ordering algorithm, and the combination of this procedure with fuzzy ARTMAP is referred to as ordered fuzzy ARTMAP. Experimental results demonstrate that ordered fuzzy ARTMAP exhibits a generalization performance that is better than the average generalization performance of fuzzy ARTMAP, and in certain cases as good as, or better than the best fuzzy ARTMAP generalization performance. We also calculate the number of operations required by the ordering algorithm and compare it to the number of operations required by the training phase of fuzzy ARTMAP. We show that, under mild assumptions, the number of operations required by the ordering algorithm is a fraction of the number of operations required by fuzzy ARTMAP.en_US
dc.format.extent10 p.en_US
dc.language.isoengen_US
dc.subjectFuzzy ARTMAPen_US
dc.subjectGeneralizationen_US
dc.subjectMax-min clusteringen_US
dc.subject.lcshLearningen_US
dc.titleAn ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performanceen_US
dc.typeJournal Articleen_US
dc.contributor.affiliationDepartment of Computer Engineeringen_US
dc.description.volume10en_US
dc.description.issue4en_US
dc.description.startpage768en_US
dc.description.endpage788en_US
dc.date.catalogued2017-11-10-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=774217en_US
dc.identifier.OlibID174893-
dc.relation.ispartoftextIEEE transactions on neural networksen_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Computer Engineering
Show simple item record

Record view(s)

1
checked on Nov 26, 2021

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.