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Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 기법에 관한 기초적 연구

Title
Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 기법에 관한 기초적 연구
Other Titles
A Basic Study on Estimation Method of Concrete Compressive Strength Based on Deep Learning Algorithm
Author
이한승
Issue Date
2017-09
Publisher
한국구조물진단유지관리공학회
Citation
2017 한국구조물진단유지관리공학회 가을 학술발표 및 포럼 논문집, Page. 279-280
Abstract
The conventional method for estimating compressive strength of concrete has been suggested by considering only 1 to 3 influential factors. In this study, seven influential mixture factors (Water-Cement Ratio, Water, Cement, Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at three conferences in order to know tendency of data. The purpose of this paper is to estimate compressive strength more accurately by applying it to algorithm of the Deep learning.
URI
http://db.koreascholar.com/Article?code=334073http://repository.hanyang.ac.kr/handle/20.500.11754/103583
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ARCHITECTURE(건축학부) > Articles
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