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Using feed forward neural networks to model the effect of precipitation on the water levels of the Northeast Cape Fear river

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2 Author(s)
W. A. Randall ; North Carolina Univ., Wilmington, NC, USA ; G. A. Tagliarini

The impact of major flooding events in the United States points to a need to discover an effective method of forecasting changes in river flow which could lead to area flooding. Proper modeling of rainfall and runoff is important, but first-principles modeling is difficult and not plastic. Neural networks provide a data-driven modeling tool capable of capturing the relationship between rainfall and river flow. The work reported here indicates that neural networks are capable of making reliable forecasts of river flow

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SoutheastCon, 2002. Proceedings IEEE

Date of Conference: