Neural Networks and Rainfall-Runoff Model, its Calibration and Validation
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چکیده
In this study a rainfall-runoff model was developed with the help of neural networks. Input to the model is precipitation and potential evapotranspiration (both on monthly basis). Output from the model is the simulated runoff at the watershed outlet. The model was calibrated and tested for Brandu river catchment of Pakistan.The data was collected from Meteorological Department Pakistan. Statistical results showed that the model preformed well. The correlation co-efficient between the simulated and measured data was found to be 87.5%.
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تاریخ انتشار 2004