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딥 러닝 접근을 이용한 3차원 트러스 구조물의 크기, 형상 및 위상 최적화
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 구혜지 | - |
| dc.contributor.author | 문대환 | - |
| dc.contributor.author | 한석영 | - |
| dc.date.accessioned | 2021-08-02T11:51:20Z | - |
| dc.date.available | 2021-08-02T11:51:20Z | - |
| dc.date.created | 2021-05-14 | - |
| dc.date.issued | 2019-05 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/14104 | - |
| dc.language | 한국어 | - |
| dc.language.iso | ko | - |
| dc.publisher | 한국생산제조학회 | - |
| dc.title | 딥 러닝 접근을 이용한 3차원 트러스 구조물의 크기, 형상 및 위상 최적화 | - |
| dc.title.alternative | Sizing, shape, and topology optimization for 3-dimensional truss structures using deep learning approach | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 한석영 | - |
| dc.identifier.bibliographicCitation | 2019 한국생산제조학회 춘계학술대회 논문집, pp.138 - 138 | - |
| dc.relation.isPartOf | 2019 한국생산제조학회 춘계학술대회 논문집 | - |
| dc.citation.title | 2019 한국생산제조학회 춘계학술대회 논문집 | - |
| dc.citation.startPage | 138 | - |
| dc.citation.endPage | 138 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Proceeding | - |
| dc.description.journalClass | 2 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
| dc.subject.keywordAuthor | Truss structure | - |
| dc.subject.keywordAuthor | Truss optimization | - |
| dc.subject.keywordAuthor | Deep learning | - |
| dc.subject.keywordAuthor | Convolution neural networks | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE08741235 | - |
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