Suggestion of a RNN-based Plant Diagnosis System for Extreme Situation in Nuclear Power Plants

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 185
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKang, Seongkeunko
dc.contributor.authorSeong, Poong-Hyunko
dc.date.accessioned2018-02-21T04:13:22Z-
dc.date.available2018-02-21T04:13:22Z-
dc.date.created2017-12-20-
dc.date.issued2017-11-27-
dc.identifier.citationISOFIC 2017-
dc.identifier.urihttp://hdl.handle.net/10203/239527-
dc.languageEnglish-
dc.publisherKorean Nuclear Society-
dc.titleSuggestion of a RNN-based Plant Diagnosis System for Extreme Situation in Nuclear Power Plants-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameISOFIC 2017-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationHICO, Gyeongju-
dc.contributor.localauthorSeong, Poong-Hyun-
dc.contributor.nonIdAuthorKang, Seongkeun-
Appears in Collection
NE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0