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Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이한승 | - |
| dc.date.accessioned | 2019-05-03T02:24:59Z | - |
| dc.date.available | 2019-05-03T02:24:59Z | - |
| dc.date.issued | 2017-05 | - |
| dc.identifier.citation | 한국콘크리트학회 2017년도 봄 학술대회 논문집, v. 29, No. 1, Page. 171-172 | en_US |
| dc.identifier.uri | http://www.dbpia.co.kr/Journal/ArticleDetail/NODE07167489 | - |
| dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/103300 | - |
| dc.description.abstract | In this study, we studied the parameters based on the concrete made of ordinary Portland cement in the existing experimental data. The depth of carbonation deduced from the learning is applied to the carbonation by applying the deep learning. | en_US |
| dc.description.sponsorship | 본 논문은 2015년 미래창조과학부의 재원으로 수행되었습니다. 이에 감사를 드립니다. (2015R1A5 A1037548) | en_US |
| dc.language.iso | ko_KR | en_US |
| dc.publisher | 한국콘크리트학회 | en_US |
| dc.title | 딥러닝을 이용한 콘크리트의 탄산화 진행 예측 | en_US |
| dc.title.alternative | Prediction of Carbonation Progress of Concrete Using Deep Learning | en_US |
| dc.type | Article | en_US |
| dc.relation.no | 01 | - |
| dc.relation.volume | 29 | - |
| dc.relation.page | 171-172 | - |
| dc.relation.journal | 콘크리트학회 논문집 | - |
| dc.contributor.googleauthor | 이형민 | - |
| dc.contributor.googleauthor | 이한승 | - |
| dc.relation.code | 2017019151 | - |
| dc.sector.campus | E | - |
| dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
| dc.sector.department | DIVISION OF ARCHITECTURE | - |
| dc.identifier.pid | ercleehs | - |
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ARCHITECTURE(건축학부) > Articles
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