Quantitative analysis of NaI(Tl) Gamma-ray Spectrometer Using an Artificial Neural Network: a Monte Carlo Simulation Study

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dc.contributor.authorKIM, JINHWANko
dc.contributor.authorKim, Junhyeokko
dc.contributor.authorCho, Gyuseongko
dc.date.accessioned2019-07-01T00:50:04Z-
dc.date.available2019-07-01T00:50:04Z-
dc.date.created2019-06-27-
dc.date.issued2019-06-11-
dc.identifier.citationThe 2019 International Conference on Application of Nuclear Techniques-
dc.identifier.urihttp://hdl.handle.net/10203/262860-
dc.languageEnglish-
dc.publisherCRETE19-
dc.titleQuantitative analysis of NaI(Tl) Gamma-ray Spectrometer Using an Artificial Neural Network: a Monte Carlo Simulation Study-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe 2019 International Conference on Application of Nuclear Techniques-
dc.identifier.conferencecountryGR-
dc.identifier.conferencelocationRithymna Beach, Crete-
dc.contributor.localauthorCho, Gyuseong-
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NE-Conference Papers(학술회의논문)
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