Yayın:
A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction

Sadeleştirilmiş öğe sayfası
dc.contributor.authorMammadov, Mammadağha
dc.contributor.authorMammadağha Mammadov
dc.contributor.orcid0000-0001-8393-1270
dc.date.accessioned2025-11-13T21:26:55Z
dc.date.issued2009-10-01
dc.identifier.endpage603
dc.identifier.issue10
dc.identifier.openalexW181521184
dc.identifier.startpage593
dc.identifier.urihttps://hdl.handle.net/11421/13461
dc.identifier.urihttp://www.wseas.us/e-library/transactions/mathematics/2009/29-700.pdf
dc.identifier.volume8
dc.language.isoen
dc.relation.ispartofWSEAS Transactions on Mathematics archive
dc.rightsrestrictedAccess
dc.subjectNonparametric regression
dc.subjectArtificial neural network
dc.subjectNonparametric statistics
dc.subjectSmoothing spline
dc.subjectRegression analysis
dc.subjectMultilayer perceptron
dc.subjectRegression
dc.subjectTime series
dc.subjectMathematics
dc.subjectAutoregressive integrated moving average
dc.subjectArtificial intelligence
dc.subjectEconometrics
dc.subjectComputer science
dc.subjectMachine learning
dc.subjectStatistics
dc.subjectSpline interpolation
dc.subject.sdg8
dc.titleA comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5066008317

Dosyalar

Koleksiyonlar

Publications