Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

배합 인자를 고려한 Machine Learning Algorithm 기반 콘크리트 압축강도 추정 기법에 관한 연구A Study on the Estimation Method of Concrete Compressive Strength Based on Machine Learning Algorithm Considering Mixture Factor

Other Titles
A Study on the Estimation Method of Concrete Compressive Strength Based on Machine Learning Algorithm Considering Mixture Factor
Authors
이승준이한승
Issue Date
May-2017
Publisher
한국건축시공학회
Keywords
압축강도; 배합 인자; 머신 러닝; Compressive Strength; Mixture Factor; Machine Learning
Citation
한국건축시공학회지 2017년 춘계학술발표대회 논문집, v.17, no.1, pp.152 - 153
Indexed
OTHER
Journal Title
한국건축시공학회지 2017년 춘계학술발표대회 논문집
Volume
17
Number
1
Start Page
152
End Page
153
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/9629
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > MAJOR IN ARCHITECTURAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Han Seung photo

Lee, Han Seung
ERICA 공학대학 (MAJOR IN ARCHITECTURAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE