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2 곽재원, "수문기상예측자료를 활용한 대청호 Chl-a 3개월 선행예측연구" 한국습지학회 23 (23): 144-153, 2021
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10 Song, Y. H., "Policy analysis and response strategy to improve water quality in Miho stream" 33-36, 2021
1 박정수, "수질자료의 특성을 고려한 앙상블 머신러닝 모형 구축 및 설명가능한 인공지능을 이용한 모형결과 해석에 대한 연구" 대한상하수도학회 36 (36): 239-248, 2022
2 곽재원, "수문기상예측자료를 활용한 대청호 Chl-a 3개월 선행예측연구" 한국습지학회 23 (23): 144-153, 2021
3 NIER National Institute of Environmental Research, "realtime water information system"
4 Chen, T., "Xgboost: A scalable tree boosting system" Association for computing Machinery 2016
5 Xin, D., "Whither AutoML? Understanding the role of automation in machine learning workflows"
6 Liu, M., "Support vector machine an alternative to artificial neuron network for water quality forecasting in an agricultural nonpoint source polluted river?" 21 : 11036-11053, 2014
7 Pedregosa, F., "Scikit-learn: Machine learning in Python" 12 : 2825-2830, 2011
8 Breiman, L., "Random forests" 45 (45): 5-32, 2001
9 Shin, Y., "Prediction of chlorophyll-a concentrations in the Nakdong River using machine learning methods" 12 : 1822-, 2020
10 Song, Y. H., "Policy analysis and response strategy to improve water quality in Miho stream" 33-36, 2021
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