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An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification

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dc.citedby23
dc.contributor.authorYap K.S.en_US
dc.contributor.authorLim C.P.en_US
dc.contributor.authorMohamad-Saleh J.en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid55666579300en_US
dc.contributor.authorid6505808410en_US
dc.date.accessioned2023-12-29T07:52:04Z
dc.date.available2023-12-29T07:52:04Z
dc.date.issued2010
dc.description.abstractGeneralized Adaptive Resonance Theory (GART) is a neural network model based on the integration of Gaussian ARTMAP and the Generalized Regression Neural Network. As demonstrated in our previous work, GART is capable of online learning and is effective in tackling both classification and regression tasks. In this paper, we propose an Enhanced GART (EGART) network whereby the capability of GART is further enhanced with the Laplacian function, a new vigilance function, a new match-tracking mechanism, and a fuzzy rule extraction procedure. The applicability of EGART to pattern classification and fuzzy rule extraction problems is evaluated using three benchmark medical data sets and one real medical diagnosis problem. The experimental results are analyzed, discussed, and compared with other reported results. The outcomes demonstrate that EGART is capable of producing high accuracy rates and of extracting useful rules for tackling medical pattern classification problems. � 2010-IOS Press and the authors. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3233/IFS-2010-0436
dc.identifier.epage78
dc.identifier.issue01/02/2023
dc.identifier.scopus2-s2.0-76149127693
dc.identifier.spage65
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-76149127693&doi=10.3233%2fIFS-2010-0436&partnerID=40&md5=13e95b1ea340f00f1736ee0b3e72cf20
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30732
dc.identifier.volume21
dc.pagecount13
dc.sourceScopus
dc.sourcetitleJournal of Intelligent and Fuzzy Systems
dc.subjectAdaptive resonance theory
dc.subjectFuzzy rule extraction
dc.subjectGeneralized regression neural network
dc.subjectMedical diagnosis
dc.subjectPattern classification
dc.subjectClassification (of information)
dc.subjectDiagnosis
dc.subjectFuzzy rules
dc.subjectMedical problems
dc.subjectRegression analysis
dc.subjectResonance
dc.subjectAdaptive resonance theory
dc.subjectFuzzy rule extraction
dc.subjectGeneralized regression neural networks
dc.subjectMedical diagnosis
dc.subjectPattern classification
dc.subjectNeural networks
dc.titleAn enhanced generalized adaptive resonance theory neural network and its application to medical pattern classificationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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