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dc.contributor.authorTütmez, Bülent
dc.contributor.authorHatipoğlu, Z.
dc.contributor.authorKaymak, U.
dc.date.accessioned2020-01-29T08:00:34Z
dc.date.available2020-01-29T08:00:34Z
dc.date.issued2006
dc.identifier.issn0098-3004
dc.identifier.urihttps://doi.org/10.1016/j.cageo.2005.07.003
dc.identifier.urihttp://hdl.handle.net/11655/21901
dc.description.abstractElectrical conductivity is an important indicator for water quality assessment. Since the composition of mineral salts affects the electrical conductivity of groundwater, it is important to understand the relationships between mineral salt composition and electrical conductivity. In this present paper, we develop an adaptive neuro-fuzzy inference system (ANFIS) model for groundwater electrical conductivity based on the concentration of positively charged ions in water. It is shown that the ANFIS model outperforms more traditional methods of modelling electrical conductivity based on the total solids dissolved in the water, even though ANFIS uses less information. Additionally, the fuzzy rules in the ANFIS model provide a categorization of ground water samples in a manner that is consistent with the current understanding of geophysical processes. (c) 2005 Elsevier Ltd. All rights reserved.tr_TR
dc.language.isoentr_TR
dc.publisherPergamon-Elsevier Science Ltdtr_TR
dc.relation.isversionof10.1016/j.cageo.2005.07.003tr_TR
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.subjectElectrical conductivitytr_TR
dc.subjectCharged ionstr_TR
dc.subjectGroundwater qualitytr_TR
dc.subjectFuzzy modellingtr_TR
dc.subjectAdaptive networkstr_TR
dc.subject.lcshMühendistr_TR
dc.titleModelling Electrical Conductivity Of Groundwater Using An Adaptive Neuro-Fuzzy Inference Systemtr_TR
dc.typeinfo:eu-repo/semantics/articletr_TR
dc.relation.journalComputers & Geosciencestr_TR
dc.contributor.departmentMaden Mühendisliğitr_TR
dc.identifier.volume32tr_TR
dc.identifier.issue4tr_TR
dc.identifier.startpage421tr_TR
dc.identifier.endpage433tr_TR
dc.description.indexWoStr_TR
dc.fundingYoktr_TR


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