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cGAN을 사용한 배터리 모듈 최적화
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 강동원 | - |
| dc.contributor.author | 한석영 | - |
| dc.date.accessioned | 2021-07-30T04:52:48Z | - |
| dc.date.available | 2021-07-30T04:52:48Z | - |
| dc.date.created | 2021-05-14 | - |
| dc.date.issued | 2020-07 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/1826 | - |
| dc.language | 한국어 | - |
| dc.language.iso | ko | - |
| dc.publisher | 한국생산제조학회 | - |
| dc.title | cGAN을 사용한 배터리 모듈 최적화 | - |
| dc.title.alternative | Optimal design for battery module using conditional generative adversarial network | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 한석영 | - |
| dc.identifier.bibliographicCitation | 한국생산제조학회 2020년도 춘계학술대회, pp.69 - 69 | - |
| dc.relation.isPartOf | 한국생산제조학회 2020년도 춘계학술대회 | - |
| dc.citation.title | 한국생산제조학회 2020년도 춘계학술대회 | - |
| dc.citation.startPage | 69 | - |
| dc.citation.endPage | 69 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Proceeding | - |
| dc.description.journalClass | 3 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
| dc.subject.keywordAuthor | Battery module | - |
| dc.subject.keywordAuthor | Deep learning | - |
| dc.subject.keywordAuthor | Semi-supervised generative adversarial networks | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09381088 | - |
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