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NTIS 바로가기Journal of environmental science international = 한국환경과학회지, v.31 no.7, 2022년, pp.555 - 567
서정식 ((주)두현이엔씨) , 김태욱 (순천향대학교 에너지환경공학과) , 이해각 (순천향대학교 컴퓨터공학과) , 윤종호 ((주)두현이엔씨)
With the introduction of the tele-monitoring system (TMS) in South Korea, monitoring of the concentration of pollutants discharged from nationwide water quality TMS attachments is possible. In addition, the Ministry of Environment is implementing a smart sewage system program that combines ICT techn...
Gardner, M. W., Dorling, S. R., 1998, Artificial neural networks (the multilayer perceptron) a review of applications in the atmospheric sciences, Atmospheric Environment, 32, 2627-2636.
Im, J. M., Joo, H. K., 2021, Big data analysis and forecasting of sewage treatment facilities using machine learning, Korean Institute of Industrial Engineering, 1316-1322.
Jawad, J., Hawari, A. H., Zaidi, S. J., 2021, Artificial neural network modeling of wastewater treatment and desalination using membrane process : A Review, Chemical Engineering, 419, 129-540.
Jeong, H. S., Lee, S. H., Shin, H. S., Song, E. Y., 2006, Analysis and prediction of sewage components of urban wastewater treatment plant using neural network, J. Korean Soc. Environ. Eng., 28(3), 308-315.
Ju, C. H., 2010, A Study on the operation of domestic municipal sewage treatment plants using neural network pattern analysis, MS Thesis, Chonnam National University.
Karlik, B., Olgac, V., 2010, Performance analysis of various activation functions in generalized MLP architectures of neural networks, Int. J. Adv. Engr., 1(4), 111-122.
Korea Environment Corporation (KECO), 2022, https://www.keco.or.kr.
Kohler J., Turnheim B., Hodson M., 2020, Low carbon transitions pathways in mobility: Applying the MLP in a combined case study and simulation bridging analysis of passenger transport in the Netherlands, Technological Forecasting and Social Changes, 151-162.
Lee, S. M., Park, K. D., Kim, I. K., 2022, Comparison of machine learning algorithms for Chl-a prediction in the middle of Nakdong River (focusing on water quality and quantity factors), J. Korean Soc. Water Wastewater, 34(4), 277-288.
Seiffert, U., 2021, Multiple layer perceptron training using genetic algorithms, European Symposium on Artificial Neural Networks, 159-164.
SOOSIRO, 2022, http://www.soosiro.or.kr.
Wongburi, P., Park, J. K., 2021, Big data analytics from a wastewater treatment plant, Sustainability, 13, 12383.
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