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이경훈,문병석,남길정,강일환 대한상하수도학회 2002 상하수도학회지 Vol.16 No.2
To develop the forecasting model on hydrologic rainfall-runoff process, this fuzzy theory is applied in this study, that is the mathematical theory to process ambiguity and the neural network theory, that is applied human's empirical thinking to mathematical process. As the result of applying neural network theory, the model of linear-linear, linear-nonlinear in the transfer function and the model applying fuzzy theory showed the excellent expectation that a coefficient of determination is over 0.97, percent error of maximum flow is less 10%. This result showed that neural network and fuzzy theory have excellent applicability in the flood forecasting. And this study expect that neural network and fuzzy theory can be used as the approach to settle problems being occurred in the course of rainfall-runoff modeling.