Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 한석영 | - |
dc.date.accessioned | 2022-03-23T05:29:36Z | - |
dc.date.available | 2022-03-23T05:29:36Z | - |
dc.date.issued | 2020-07 | - |
dc.identifier.citation | 한국생산제조학회 2020년도 춘계학술대회, page. 69-69 | en_US |
dc.identifier.uri | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09381088 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/169351 | - |
dc.description.sponsorship | 본 연구는 한국전기연구원(KERI)의 지원을 받아 수행한 연구 과제입니다.(No.202000000001194) | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국생산제조학회 | en_US |
dc.subject | Battery module | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Semi-supervised generative adversarial networks | en_US |
dc.title | cGAN을 이용한 배터리 모듈 최적화 | en_US |
dc.title.alternative | Optimal design for battery module using conditional generative adversarial network | en_US |
dc.type | Article | en_US |
dc.relation.page | 69-69 | - |
dc.contributor.googleauthor | 강동원 | - |
dc.contributor.googleauthor | 한석영 | - |
dc.contributor.googleauthor | Kang, D. W. | - |
dc.contributor.googleauthor | Han, S. Y. | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | syhan | - |
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