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College of Engineering(공과대학)Dept. of Nuclear and Quantum Engineering(원자력및양자공학과)NE-Conference Papers(학술회의논문)

Neural network based real-time reconstruction of KSTAR magnetic equilibria with Bayesian-based preprocessing

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dc.contributor.authorJoung, Seminko
dc.contributor.authorKwak, Sehyunko
dc.contributor.authorJeon, Y.M.ko
dc.contributor.authorHahn, S.H.ko
dc.contributor.authorHan, H.S.ko
dc.contributor.authorKim, H.S.ko
dc.contributor.authorBak, J.G.ko
dc.contributor.authorLee, S.G.ko
dc.contributor.authorGhim, Young-chulko
dc.date.accessioned2018-01-30T04:34:28Z-
dc.date.available2018-01-30T04:34:28Z-
dc.date.created2017-12-21-
dc.date.issued2017-10-26-
dc.identifier.citation59th Annual Meeting of the APS Division of Plasma Physics-
dc.identifier.urihttp://hdl.handle.net/10203/239074-
dc.languageEnglish-
dc.publisherAmerican Physical Society-
dc.titleNeural network based real-time reconstruction of KSTAR magnetic equilibria with Bayesian-based preprocessing-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname59th Annual Meeting of the APS Division of Plasma Physics-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationMilwaukee, Wisconsin-
dc.contributor.localauthorGhim, Young-chul-
dc.contributor.nonIdAuthorJoung, Semin-
dc.contributor.nonIdAuthorKwak, Sehyun-
dc.contributor.nonIdAuthorJeon, Y.M.-
dc.contributor.nonIdAuthorHahn, S.H.-
dc.contributor.nonIdAuthorHan, H.S.-
dc.contributor.nonIdAuthorKim, H.S.-
dc.contributor.nonIdAuthorBak, J.G.-
dc.contributor.nonIdAuthorLee, S.G.-
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NE-Conference Papers(학술회의논문)
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