신경망 입력변수에 따른 피복석 안정모델의 예측특성

DC Field Value Language
dc.contributor.author 김동현 -
dc.contributor.author 박우선 -
dc.contributor.author 한상훈 -
dc.date.accessioned 2020-07-17T13:51:45Z -
dc.date.available 2020-07-17T13:51:45Z -
dc.date.created 2020-02-11 -
dc.date.issued 2002-08-23 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/32510 -
dc.description.abstract 신경망을 이용하여 방파제피복석의 안정예측을 수행함에 있어 입력변수에 따른 특성을 연구함. -
dc.description.uri 2 -
dc.language Korean -
dc.publisher 한국해안해양공학회 -
dc.relation.isPartOf 한국해안해양공학발표논문집 -
dc.title 신경망 입력변수에 따른 피복석 안정모델의 예측특성 -
dc.title.alternative Prediction characteristics of breakwater stability model according to neural network inputs -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 81 -
dc.citation.startPage 76 -
dc.citation.title 한국해안해양공학발표논문집 -
dc.contributor.alternativeName 김동현 -
dc.contributor.alternativeName 박우선 -
dc.contributor.alternativeName 한상훈 -
dc.identifier.bibliographicCitation 한국해안해양공학발표논문집, pp.76 - 81 -
dc.description.journalClass 2 -
Appears in Collections:
Marine Industry Research Division > Ocean Space Development & Energy Research Department > 2. Conference Papers
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