Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/6867
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dc.contributor.authorYurdusev, M.A.-
dc.contributor.authorFırat, Mahmut-
dc.date.accessioned2019-08-16T12:12:06Z
dc.date.available2019-08-16T12:12:06Z
dc.date.issued2009-
dc.identifier.issn0022-1694-
dc.identifier.urihttps://hdl.handle.net/11499/6867-
dc.identifier.urihttps://doi.org/10.1016/j.jhydrol.2008.11.036-
dc.description.abstractIn this study, an adaptive neuro fuzzy inference system (ANFIS) is used to forecast monthly water use from several socio-economic and climatic factors including average monthly water bill, population, number of households, gross national product, monthly average temperature observed, monthly total rainfall, monthly average humidity observed and inflation rate. Water consumption modeling in this way will be more consistent than doing it using a single variable as more effective parameter could be incorporated. The ANFIS system is applied to modeling monthly water consumptions of Izmir, Turkey. The results indicated that ANFIS can be successfully applied for monthly water consumption modeling. © 2008 Elsevier B.V. All rights reserved.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Hydrologyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANFISen_US
dc.subjectANNen_US
dc.subjectFuzzy logicen_US
dc.subjectPredictionen_US
dc.subjectWater consumptionen_US
dc.subjectWater demanden_US
dc.subjectBackpropagationen_US
dc.subjectEconomicsen_US
dc.subjectFuzzy inferenceen_US
dc.subjectFuzzy setsen_US
dc.subjectPopulation statisticsen_US
dc.subjectWater supplyen_US
dc.subjectFuzzy systemsen_US
dc.subjectartificial neural networken_US
dc.subjectclimate effecten_US
dc.subjectforecasting methoden_US
dc.subjectfuzzy mathematicsen_US
dc.subjecthydrological modelingen_US
dc.subjectwater demanden_US
dc.subjectwater useen_US
dc.subjectEurasiaen_US
dc.subjectIzmir [Turkey]en_US
dc.subjectTurkeyen_US
dc.titleAdaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to Izmir, Turkeyen_US
dc.typeArticleen_US
dc.identifier.volume365en_US
dc.identifier.issue3-4en_US
dc.identifier.startpage225
dc.identifier.startpage225en_US
dc.identifier.endpage234en_US
dc.authorid0000-0002-8010-9289-
dc.identifier.doi10.1016/j.jhydrol.2008.11.036-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-58849164849en_US
dc.identifier.wosWOS:000263742400007en_US
dc.identifier.scopusqualityQ1-
dc.ownerPamukkale University-
item.languageiso639-1en-
item.openairetypeArticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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