Applications of Supervised Machine Learning to Diagnose Reactor Vessel Failure
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이연하 | ko |
| dc.contributor.author | 송규상 | ko |
| dc.contributor.author | 이정익 | ko |
| dc.date.accessioned | 2023-03-14T06:15:13Z | - |
| dc.date.available | 2023-03-14T06:15:13Z | - |
| dc.date.created | 2023-03-10 | - |
| dc.date.issued | 2022-10-20 | - |
| dc.identifier.citation | 한국원자력학회 2022 추계학술발표회 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/305607 | - |
| dc.language | English | - |
| dc.publisher | 한국원자력학회 | - |
| dc.title | Applications of Supervised Machine Learning to Diagnose Reactor Vessel Failure | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 한국원자력학회 2022 추계학술발표회 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 창원컨벤션센터 | - |
| dc.contributor.localauthor | 이정익 | - |
| dc.contributor.nonIdAuthor | 송규상 | - |
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