Applications of Neural Network to Predict Reactor Vessel Failure Time for Various Component Failures during Severe Accident
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이연하 | ko |
| dc.contributor.author | 최유정 | ko |
| dc.contributor.author | 이정익 | ko |
| dc.date.accessioned | 2022-07-26T01:01:34Z | - |
| dc.date.available | 2022-07-26T01:01:34Z | - |
| dc.date.created | 2022-06-22 | - |
| dc.date.issued | 2022-05-19 | - |
| dc.identifier.citation | 한국원자력학회 2022 춘계학술발표회 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/297454 | - |
| dc.language | English | - |
| dc.publisher | 한국원자력학회 | - |
| dc.title | Applications of Neural Network to Predict Reactor Vessel Failure Time for Various Component Failures during Severe Accident | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 한국원자력학회 2022 춘계학술발표회 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 제주국제컨벤션센터 | - |
| dc.contributor.localauthor | 이정익 | - |
| dc.contributor.nonIdAuthor | 최유정 | - |
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