DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김진근 | - |
dc.contributor.author | 이방연 | - |
dc.contributor.author | 김재홍 | - |
dc.contributor.author | 이성태 | - |
dc.date.accessioned | 2013-03-18T22:20:48Z | - |
dc.date.available | 2013-03-18T22:20:48Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | 2006 한국콘크리트학회 가을 학술대회, v., no., pp. - | - |
dc.identifier.uri | http://hdl.handle.net/10203/153005 | - |
dc.description.abstract | This paper examined the applicability of convex hull, which is defined as the minimal convex polygon including all points, to assessment model for effective region. In order to validate the applicability of the convex hull to assessment model for effective region, a genetic algorithm was adopted as a optimum technique, and an artificial neural network was adopted as a prediction model for material properties. The mix-proportion obtained from the proposed technique is more reasonable than that obtained from previous work. | - |
dc.language | KOR | - |
dc.publisher | 한국콘크리트학회 | - |
dc.title | 유효 영역 판별 모델에 따른 데이터베이스 기반 콘크리트 최적 배합 선정 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2006 한국콘크리트학회 가을 학술대회 | - |
dc.identifier.conferencecountry | South Korea | - |
dc.identifier.conferencecountry | South Korea | - |
dc.contributor.localauthor | 김진근 | - |
dc.contributor.nonIdAuthor | 이방연 | - |
dc.contributor.nonIdAuthor | 김재홍 | - |
dc.contributor.nonIdAuthor | 이성태 | - |
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