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Hybrid models combining neural networks and nonparametricregression models used for time series prediction

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dc.contributor.authorMammadov, Mammadağha
dc.contributor.authorMammadağha Mammadov
dc.contributor.orcid0000-0001-8393-1270
dc.date.accessioned2025-11-13T21:26:33Z
dc.date.issued2009-08-20
dc.identifier.endpage147
dc.identifier.openalexW1561463884
dc.identifier.startpage141
dc.identifier.urihttps://hdl.handle.net/11421/13438
dc.identifier.urihttp://www.wseas.us/e-library/conferences/2009/moscow/ISTASC/ISTASC19.pdf
dc.language.isoen
dc.relation.ispartofInternational Conference on Systems
dc.rightsrestrictedAccess
dc.subjectArtificial neural network
dc.subjectNonparametric regression
dc.subjectComputer science
dc.subjectSmoothing spline
dc.subjectMultilayer perceptron
dc.subjectSpline (mechanical)
dc.subjectNonparametric statistics
dc.subjectRegression
dc.subjectRegression analysis
dc.subjectArtificial intelligence
dc.subjectSmoothing
dc.subjectTime series
dc.subjectSeries (stratigraphy)
dc.subjectRadial basis function
dc.subjectMachine learning
dc.subjectMathematics
dc.subjectStatistics
dc.subjectEngineering
dc.subjectSpline interpolation
dc.titleHybrid models combining neural networks and nonparametricregression models used for time series prediction
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5066008317

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