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dc.contributor.author한석영-
dc.date.accessioned2022-03-23T05:29:36Z-
dc.date.available2022-03-23T05:29:36Z-
dc.date.issued2020-07-
dc.identifier.citation한국생산제조학회 2020년도 춘계학술대회, page. 69-69en_US
dc.identifier.urihttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09381088-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/169351-
dc.description.sponsorship본 연구는 한국전기연구원(KERI)의 지원을 받아 수행한 연구 과제입니다.(No.202000000001194)en_US
dc.language.isoko_KRen_US
dc.publisher한국생산제조학회en_US
dc.subjectBattery moduleen_US
dc.subjectDeep learningen_US
dc.subjectSemi-supervised generative adversarial networksen_US
dc.titlecGAN을 이용한 배터리 모듈 최적화en_US
dc.title.alternativeOptimal design for battery module using conditional generative adversarial networken_US
dc.typeArticleen_US
dc.relation.page69-69-
dc.contributor.googleauthor강동원-
dc.contributor.googleauthor한석영-
dc.contributor.googleauthorKang, D. W.-
dc.contributor.googleauthorHan, S. Y.-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentSCHOOL OF MECHANICAL ENGINEERING-
dc.identifier.pidsyhan-
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COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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