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딥러닝을 이용한 콘크리트의 탄산화 진행 예측Prediction of Carbonation Progress of Concrete Using Deep Learning

Other Titles
Prediction of Carbonation Progress of Concrete Using Deep Learning
Authors
이형민이한승
Issue Date
May-2017
Publisher
한국콘크리트학회
Citation
한국콘크리트학회 2017년도 봄 학술대회 논문집, v.29, no.01, pp 171 - 172
Pages
2
Indexed
OTHER
Journal Title
한국콘크리트학회 2017년도 봄 학술대회 논문집
Volume
29
Number
01
Start Page
171
End Page
172
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/9630
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.
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COLLEGE OF ENGINEERING SCIENCES > MAJOR IN ARCHITECTURAL ENGINEERING > 1. Journal Articles

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ERICA 공학대학 (MAJOR IN ARCHITECTURAL ENGINEERING)
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