Application of an Artificial Neural Network Model to a Na-K Geothermometer

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dc.contributor.authorBayram, A. F.
dc.date.accessioned2020-03-26T16:36:59Z
dc.date.available2020-03-26T16:36:59Z
dc.date.issued2001
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractA new geothermometer model is proposed by applying data obtained from a known Na-K geothermometer to an artificial neural network. In this model, Na and K values were implemented as input signals and geothermometers as the output signal. Multi-layer perceptrons and back propagation were used as training algorithms for the artificial neural network. Reservoir temperatures of some geothermal fields in Turkey determined by this method are in accord with those determined from other methods.en_US
dc.identifier.citationBayram, A. F., (2001). Application of an Artificial Neural Network Model to a Na-K Geothermometer. Journal of Volcanology and Geothermal Research, 112, 75-81.
dc.identifier.endpage81en_US
dc.identifier.issn0377-0273en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage75en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/17505
dc.identifier.volume112en_US
dc.identifier.wosWOS:000173327400006en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBayram, A. F.
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofJournal of Volcanology and Geothermal Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectGeothermometryen_US
dc.subjectArtificial Neural Networks
dc.subjectReservoir Temperatures
dc.titleApplication of an Artificial Neural Network Model to a Na-K Geothermometeren_US
dc.typeArticleen_US

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