Detailed Information

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

물 산업 분야에서의 머신러닝 적용 사례 연구Application of machine learning in water industry: A review

Other Titles
Application of machine learning in water industry: A review
Authors
오원기장해남신승구
Issue Date
2022
Publisher
대한상하수도학회
Keywords
Water industry; Artificial intelligence; Machine learning; Artificial neural network; Hybrid machine learning; 물 산업; 인공지능; 머신러닝; 인공신경망; 하이브리드 머신러닝
Citation
상하수도학회지, v.36, no.1, pp.9 - 21
Indexed
KCI
Journal Title
상하수도학회지
Volume
36
Number
1
Start Page
9
End Page
21
URI
https://scholarworks.bwise.kr/gnu/handle/sw.gnu/2527
ISSN
1225-7672
Abstract
With the current trend of the fourth industrial revolution, machine learning technique is increasingly adopted in various water industry fields. In this review paper, recent studies using machine learning to predict flood, water consumption, water quality, and water treatment processes are summarized. In the typical water purification processes such as flocculation, disinfection, and filtration, machine learning was able to present high-accuracy prediction results for complex non-linear mechanisms. Hybrid machine learning methods, combining multiple algorithms, generally outperformed machine learning results using only one algorithm. A more microscopic machine learning approach can provide valuable information to the operators in the water industry.
Files in This Item
There are no files associated with this item.
Appears in
Collections
융합기술공과대학 > Department of Energy Engineering > Journal Articles

qrcode

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

Related Researcher

Researcher Shin, Seung Gu photo

Shin, Seung Gu
공과대학 (에너지공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE