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Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training

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dc.contributor.authorBarkana, Atalay
dc.contributor.authorAtalay Barkana
dc.contributor.orcid0000-0003-1800-7908
dc.date.accessioned2025-11-13T09:14:02Z
dc.date.issued2009-03-10
dc.identifier.doihttps://doi.org/10.1007/s00500-009-0410-8
dc.identifier.endpage378
dc.identifier.issn1432-7643
dc.identifier.issue4
dc.identifier.openalexW2045699106
dc.identifier.startpage365
dc.identifier.urihttps://hdl.handle.net/11421/845
dc.identifier.urihttps://doi.org/10.1007/s00500-009-0410-8
dc.identifier.volume14
dc.language.isoen
dc.relation.ispartofSoft Computing
dc.rightsrestrictedAccess
dc.subjectConjugate gradient method
dc.subjectAlgorithm
dc.subjectComputation
dc.subjectGradient descent
dc.subjectEstimator
dc.subjectComputer science
dc.subjectArtificial neural network
dc.subjectClassifier (UML)
dc.subjectConvergence (economics)
dc.subjectRate of convergence
dc.subjectMathematics
dc.subjectArtificial intelligence
dc.subjectStatistics
dc.titleSpeeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5110253546

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