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Self Organizing Map (SOM) Approach for Classification of Power Quality Events

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dc.contributor.authorEmin Germen
dc.contributor.authorGermen, Emin
dc.contributor.authorD.G. Ece
dc.contributor.authorEce, D.G.
dc.contributor.authorÖmer Nezih Gerek
dc.contributor.authorGerek, Ömer Nezih
dc.contributor.orcid0000-0003-1301-3786
dc.contributor.orcid0000-0001-8183-1356
dc.date.accessioned2025-11-13T21:16:50Z
dc.date.issued2005-01-01
dc.identifier.doihttps://doi.org/10.1007/11550822_63
dc.identifier.endpage408
dc.identifier.issn0302-9743
dc.identifier.openalexW1506515478
dc.identifier.startpage403
dc.identifier.urihttps://hdl.handle.net/11421/13021
dc.identifier.urihttps://doi.org/10.1007/11550822_63
dc.language.isoen
dc.relation.ispartofLecture notes in computer science
dc.rightsrestrictedAccess
dc.subjectSelf-organizing map
dc.subjectCodebook
dc.subjectCluster analysis
dc.subjectComputer science
dc.subjectPattern recognition (psychology)
dc.subjectMaxima and minima
dc.subjectArtificial intelligence
dc.subjectWaveform
dc.subjectFeature vector
dc.subjectSignature (topology)
dc.subjectSupport vector machine
dc.subjectMargin (machine learning)
dc.subjectData mining
dc.subjectAlgorithm
dc.subjectMachine learning
dc.subjectMathematics
dc.titleSelf Organizing Map (SOM) Approach for Classification of Power Quality Events
dc.typebook-chapter
dspace.entity.typePublication
local.authorid.openalexA5043409709
local.authorid.openalexA5110343935
local.authorid.openalexA5035651018

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