FORECASTING THE RAINFALL DATA BY ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

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dc.contributor.authorYarar, Alpaslan
dc.contributor.authorOnucyildiz, Mustafa
dc.contributor.authorSevimli, M. Faik
dc.date.accessioned2020-03-26T17:38:44Z
dc.date.available2020-03-26T17:38:44Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description9th International Multidisciplinary Scientific Geo-Conference and Expo -- JUN 14-19, 2009 -- Albena, BULGARIAen_US
dc.description.abstractKonya is the biggest city of Turkey in terms of area and agricultural land, on the other hand sixth biggest city in terms of population. Because of the decrease of rainfall and increase in temperature, the agricultural production and daily water consumption are effected negatively in last years. Rainfall, one of the basic parameters of the hydrological cycle, has a big importance to determine the water budgets and to improve the water supply policy. In this study, monthly total rainfall data belong to Konya between 1970-2002 years, have been studied to forecast by Adaptive Neuro-Fuzzy Inference System (ANFIS). And model's performance has been evaluated by comparison with the Lineer Regression (LR) as one of the traditional methods.en_US
dc.description.sponsorshipMinist Environm & Water, Bulgaria, Bulgarian Acad Sci, Acad Sci Czech Republic, Acad Sci IR Iran, Latvian Acad Sci, Polish Acad Sci, Russian Acad Sci, Serbian Acad Sci & Arts, Slovak Acad Sci, Natl Acad Sci Ukraine, Bulgarian Ind Assocen_US
dc.identifier.endpage+en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage191en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23559
dc.identifier.wosWOS:000276075800028en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherINT SCIENTIFIC CONFERENCE SGEMen_US
dc.relation.ispartofSGEM 2009: 9TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE, VOL II, CONFERENCE PROCEEDING: MODERN MANAGEMENT OF MINE PRODUCING, GEOLOGY AND ENVIRONMENTAL PROTECTIONen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectANFISen_US
dc.subjectRegressionen_US
dc.subjectRainfall Forecastingen_US
dc.titleFORECASTING THE RAINFALL DATA BY ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMen_US
dc.typeConference Objecten_US

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