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DCNN(Deep Convolution Neural Network)기반 콘크리트 압축강도 예측 모델을 위한 기초연구A Basic Study for Prediction Model of DCNN-Based Concrete Compressive Strength

Other Titles
A Basic Study for Prediction Model of DCNN-Based Concrete Compressive Strength
Authors
안용한신현규장유진
Issue Date
Nov-2017
Publisher
한국건설관리학회
Keywords
콘크리트 압축강도; 시설물 유지관리; 딥러닝; DCNN; Concrete Compressive Strength; Facility Maintenance; Deep Learning; Deep Convolution Neural Network
Citation
2017 한국건설관리학회 정기학술발표대회 논문집, pp.29 - 30
Indexed
OTHER
Journal Title
2017 한국건설관리학회 정기학술발표대회 논문집
Start Page
29
End Page
30
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/8474
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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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