DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문기훈 | ko |
dc.contributor.author | Guan, Yu | ko |
dc.contributor.author | Li, Larry K.B. | ko |
dc.contributor.author | 김규태 | ko |
dc.date.accessioned | 2022-06-02T08:00:46Z | - |
dc.date.available | 2022-06-02T08:00:46Z | - |
dc.date.created | 2022-05-22 | - |
dc.date.issued | 2022-05-20 | - |
dc.identifier.citation | 2022년도 한국연소학회 춘계학술대회 | - |
dc.identifier.uri | http://hdl.handle.net/10203/296779 | - |
dc.language | Korean | - |
dc.publisher | 사단법인 한국연소학회 | - |
dc.title | 모델 캔-환형 연소 시스템의 머신러닝 기반 분석 | - |
dc.title.alternative | Machine learning-based analysis of a model can-annular gas turbine combustion system | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2022년도 한국연소학회 춘계학술대회 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 경주 소노벨 | - |
dc.contributor.localauthor | 김규태 | - |
dc.contributor.nonIdAuthor | Guan, Yu | - |
dc.contributor.nonIdAuthor | Li, Larry K.B. | - |
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