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Kriging 기법과 Deep Neural Network를 활용한 Linear Oscillating Actuator 최적설계 비교 연구

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dc.contributor.author김필중-
dc.contributor.author박수환-
dc.contributor.author임명섭-
dc.date.accessioned2023-10-10T02:42:28Z-
dc.date.available2023-10-10T02:42:28Z-
dc.date.created2023-07-21-
dc.date.issued2021-11-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/191853-
dc.language한국어-
dc.language.isoko-
dc.publisher대한전기학회-
dc.titleKriging 기법과 Deep Neural Network를 활용한 Linear Oscillating Actuator 최적설계 비교 연구-
dc.title.alternativeComparative Study on the Optimal Design of Linear Oscillating Actuator using Kriging and Deep Neural Network-
dc.typeArticle-
dc.contributor.affiliatedAuthor임명섭-
dc.identifier.bibliographicCitation2021년도 대한전기학회 전기기기 및 에너지변환시스템부문회 정기총회 및 추계학술대회 , pp.176 - 178-
dc.relation.isPartOf2021년도 대한전기학회 전기기기 및 에너지변환시스템부문회 정기총회 및 추계학술대회-
dc.citation.title2021년도 대한전기학회 전기기기 및 에너지변환시스템부문회 정기총회 및 추계학술대회-
dc.citation.startPage176-
dc.citation.endPage178-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10755033-
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