Evaluation of Trace Element Concentrations in Groundwater and Classification of Endemic Disease Regions using Multilayer Perceptron Neural Network

dc.authorscopusid34871351300
dc.authorscopusid15837228700
dc.authorscopusid34872334500
dc.authorscopusid34871838800
dc.authorscopusid34873042500
dc.authorwosidKaraca, Ferhat/G-2353-2011
dc.authorwosidKILIC, Niyazi/LIH-4233-2024
dc.contributor.authorSahmurova, Aida
dc.contributor.authorKilic, Niyazi
dc.contributor.authorOkan, Isil
dc.contributor.authorKaraca, Ferhat
dc.contributor.authorUcan, Osman N.
dc.date.accessioned2024-10-15T20:19:13Z
dc.date.available2024-10-15T20:19:13Z
dc.date.issued2009
dc.departmentOkan Universityen_US
dc.department-temp[Kilic, Niyazi; Ucan, Osman N.] Istanbul Univ, Fac Engn, Elect Elect Dept, TR-34320 Istanbul, Turkey; [Sahmurova, Aida; Okan, Isil] Okan Univ, Dept Environm Hlth, TR-34959 Istanbul, Turkey; [Karaca, Ferhat] Fatih Univ, Dept Environm Engn, TR-34500 Istanbul, Turkeyen_US
dc.description.abstractIn this study, trace elements were measured in the groundwater in Azerbaijan and the level of the fluoride was assessed. The endemic diseases in the regions of Azerbaijan were investigated by using these data. A Multilayer Perceptron Neural Network (MLPNN) was used to classify the regions with or without an endemic disease. MLPNN employing a backprobagation training algorithm was used to predict the presence or the absence of endemic disease potential in the regions. At the end of the classification process, percentages of the towns with or without an endemic disease were calculated as 100% and 68.75% respectively. Total classification accuracy of MLPNN was determined as 75%. Therefore, we can conclude that a MLPNN is one of the most promising methods for classification of regions with endemic diseases, based on the trace elements in the groundwater.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.citationcount1
dc.identifier.endpage88en_US
dc.identifier.issn1544-8053
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-70149099359
dc.identifier.startpage83en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14517/6432
dc.identifier.volume6en_US
dc.identifier.wosWOS:000269572200004
dc.language.isoen
dc.publisherdestech Publications, incen_US
dc.relation.ispartofJournal of Residuals Science and Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount1
dc.subject[No Keyword Available]en_US
dc.titleEvaluation of Trace Element Concentrations in Groundwater and Classification of Endemic Disease Regions using Multilayer Perceptron Neural Networken_US
dc.typeArticleen_US
dc.wos.citedbyCount1
dspace.entity.typePublication

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