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비선형 회귀 기반 생성적 적대 신경망을 사용한 공기압 시스템 데이터의 결측치 추정 프레임웤

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dc.contributor.authorLee,Hyun Soo-
dc.date.available2021-02-26T05:41:12Z-
dc.date.created2021-02-19-
dc.date.issued2020-11-28-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/18614-
dc.publisher한국지능시스템학회-
dc.title비선형 회귀 기반 생성적 적대 신경망을 사용한 공기압 시스템 데이터의 결측치 추정 프레임웤-
dc.title.alternativeEstimation of Missing Values of Air Pressure System using Nonlinear Regression-based Generative Adversarial Network-
dc.typeConference-
dc.contributor.affiliatedAuthorLee,Hyun Soo-
dc.identifier.bibliographicCitation한국지능시스템학회 30주년 기념 2020 추계학술대회, v.30, no.2, pp.34-35-
dc.relation.isPartOf한국지능시스템학회 30주년 기념 2020 추계학술대회-
dc.relation.isPartOfProceedings of KIIS Autumn Conference 2020-
dc.citation.title한국지능시스템학회 30주년 기념 2020 추계학술대회-
dc.citation.volume30-
dc.citation.number2-
dc.citation.startPage34-35-
dc.citation.endPage34-35-
dc.citation.conferencePlace대한민국-
dc.citation.conferencePlace전주, 전북대학교-
dc.type.rimsCONF-
dc.description.journalClass2-
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