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DCNN(Deep Convolution Neural Network)기반 콘크리트 압축강도 예측 모델을 위한 기초연구

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dc.contributor.author안용한-
dc.contributor.author신현규-
dc.contributor.author장유진-
dc.date.accessioned2021-06-22T13:22:38Z-
dc.date.available2021-06-22T13:22:38Z-
dc.date.created2021-02-18-
dc.date.issued2017-11-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/8474-
dc.language한국어-
dc.language.isoko-
dc.publisher한국건설관리학회-
dc.titleDCNN(Deep Convolution Neural Network)기반 콘크리트 압축강도 예측 모델을 위한 기초연구-
dc.title.alternativeA Basic Study for Prediction Model of DCNN-Based Concrete Compressive Strength-
dc.typeArticle-
dc.contributor.affiliatedAuthor안용한-
dc.identifier.bibliographicCitation2017 한국건설관리학회 정기학술발표대회 논문집, pp.29 - 30-
dc.relation.isPartOf2017 한국건설관리학회 정기학술발표대회 논문집-
dc.citation.title2017 한국건설관리학회 정기학술발표대회 논문집-
dc.citation.startPage29-
dc.citation.endPage30-
dc.type.rimsART-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor콘크리트 압축강도-
dc.subject.keywordAuthor시설물 유지관리-
dc.subject.keywordAuthor딥러닝-
dc.subject.keywordAuthorDCNN-
dc.subject.keywordAuthorConcrete Compressive Strength-
dc.subject.keywordAuthorFacility Maintenance-
dc.subject.keywordAuthorDeep Learning-
dc.subject.keywordAuthorDeep Convolution Neural Network-
dc.identifier.urlhttps://www.auric.or.kr/User/Rdoc/DocRdoc.aspx?returnVal=RD_R&dn=352449#.Yeowfv5BxPY-
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