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NTIS 바로가기Journal of Korea Water Resources Association = 한국수자원학회논문집, v.55 no.10, 2022년, pp.723 - 736
김철겸 (한국건설기술연구원 수자원하천연구본부) , 이정우 (한국건설기술연구원 수자원하천연구본부) , 이정은 (한국건설기술연구원 수자원하천연구본부) , 김현준 (한국건설기술연구원 수자원하천연구본부)
In this study, monthly precipitation forecasting models that can predict up to 12 months in advance were constructed for the Geum River basin, and two statistical techniques, multiple linear regression (MLR) and artificial neural network (ANN), were applied to the model construction. As predictor ca...
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