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Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm

dc.contributor.authorSafari, M.J.S.
dc.contributor.authorArashloo, S.R.
dc.contributor.authorMehr, A.D.
dc.date.accessioned2021-01-25T19:32:34Z
dc.date.available2021-01-25T19:32:34Z
dc.date.issued2020
dc.identifier10.1016/j.jhydrol.2020.125014
dc.identifier.issn0022-1694
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7254
dc.description.abstractIn this study, Regression in the Reproducing Kernel Hilbert Space (RRKHS) technique which is a non-linear regression approach formulated in the reproducing kernel Hilbert space (RRKHS) is applied for rainfall-runoff (R-R) modeling for the first time. The
dc.language.isoEnglish
dc.publisherELSEVIER
dc.titleRainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm
dc.typeArticle
dc.relation.volume587
dc.description.woscategoryEngineering, Civil; Geosciences, Multidisciplinary; Water Resources
dc.description.wosresearchareaEngineering; Geology; Water Resources
dc.identifier.wosidWOS:000568819100079


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