Yayın:
Streamflow Forecasting Using Four Wavelet Transformation Combinations Approaches with Data-Driven Models: A Comparative Study

Sadeleştirilmiş öğe sayfası
dc.contributor.authorHadi, Sinan Jasim
dc.contributor.authorTombul, Mustafa
dc.contributor.orcid0000-0001-5580-0644
dc.contributor.orcid0000-0002-1875-8042
dc.date.accessioned2025-11-13T09:26:54Z
dc.date.issued2018-08-13
dc.identifier.doihttps://doi.org/10.1007/s11269-018-2077-3
dc.identifier.endpage4679
dc.identifier.issn0920-4741
dc.identifier.issue14
dc.identifier.openalexW2887286835
dc.identifier.startpage4661
dc.identifier.urihttps://hdl.handle.net/11421/1170
dc.identifier.urihttps://doi.org/10.1007/s11269-018-2077-3
dc.identifier.volume32
dc.language.isoen
dc.relation.ispartofWater Resources Management
dc.rightsrestrictedAccess
dc.subjectAdaptive neuro fuzzy inference system
dc.subjectStreamflow
dc.subjectTransformation (genetics)
dc.subjectWavelet
dc.subjectSupport vector machine
dc.subjectDiscrete wavelet transform
dc.subjectArtificial intelligence
dc.subjectArtificial neural network
dc.subjectPattern recognition (psychology)
dc.subjectComputer science
dc.subjectMathematics
dc.subjectFuzzy logic
dc.subjectData mining
dc.subjectWavelet transform
dc.subjectFuzzy control system
dc.subjectChemistry
dc.subjectGeography
dc.subject.sdg13
dc.titleStreamflow Forecasting Using Four Wavelet Transformation Combinations Approaches with Data-Driven Models: A Comparative Study
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5044672227
local.authorid.openalexA5081589463

Dosyalar

Koleksiyonlar

Publications