Spatial interpolation and radiological mapping of ambient gamma dose rate by using artificial neural networks and fuzzy logic methods

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dc.authorid0000-0002-7508-7548en_US
dc.contributor.authorYeşilkanat, Cafer Mert
dc.contributor.authorKobya, Yaşar
dc.contributor.authorTaşkın, Halim
dc.contributor.authorÇevik Uğur
dc.date.accessioned2020-11-09T11:47:14Z
dc.date.available2020-11-09T11:47:14Z
dc.date.issued2017
dc.departmentAÇÜ, Eğitim Fakültesien_US
dc.description.abstractThe aim of this study was to determine spatial risk dispersion of ambient gamma dose rate (AGDR) by using both artificial neural network (ANN) and fuzzy logic (FL) methods, compare the performances of methods, make dose estimations for intermediate stations with no previous measurements and create dose rate risk maps of the study area. In order to determine the dose distribution by using artificial neural networks, two main networks and five different network structures were used; feed forward ANN; Multi-layer perceptron (MLP), Radial basis functional neural network (RBFNN), Quantile regression neural network (QRNN) and recurrent ANN; Jordan networks (JN), Elman networks (EN). In the evaluation of estimation performance obtained for the test data, all models appear to give similar results. According to the cross-validation results obtained for explaining AGDR distribution, Pearson's r coefficients were calculated as 0.94, 0.91, 0.89, 0.91, 0.91 and 0.92 and RMSE values were calculated as 34.78, 43.28, 63.92, 44.86, 46.77 and 37.92 for MLP, RBFNN, QRNN, JN, EN and FL, respectively. In addition, spatial risk maps showing distributions of AGDR of the study area were created by all models and results were compared with geological, topological and soil structure.
dc.identifier.citationYeşilkanat, C. M., Kobya, Y., Taşkın, H., & Çevik, U. (2017). Spatial interpolation and radiological mapping of ambient gamma dose rate by using artificial neural networks and fuzzy logic methods. Journal of Environmental Radioactivity, 175, 78-93.en_US
dc.identifier.doi10.1016/j.jenvrad.2017.04.015
dc.identifier.endpage93en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage78en_US
dc.identifier.urihttps://hdl.handle.net/11494/2433
dc.identifier.volume175en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorKobya, Yaşar
dc.institutionauthorYeşilkanat, Cafer Mert
dc.language.isoenen_US
dc.publisherElsevier SCI LTDen_US
dc.relation.ispartofJournal of Environmental Radioactivity
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGamma dose rateen_US
dc.subjectArtificial neural networken_US
dc.subjectFuzzy logicen_US
dc.subjectRadiological risk mapsen_US
dc.subjectInterpolationen_US
dc.titleSpatial interpolation and radiological mapping of ambient gamma dose rate by using artificial neural networks and fuzzy logic methodsen_US
dc.typeArticle

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