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Comparison between Response Surface Models and Artificial Neural Networks in Hydrologic Forecasting
Publisher: American Society of Civil Engineers
Abstract: Developing an efficient and accurate hydrologic forecasting model is crucial to managing water resources and flooding issues. In this study, response surface (RS) models including multiple linear regression (MLR), quadratic ...