Browsing by Author "Ahmed El-Shafie"

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    A new soft computing model for daily streamflow forecasting
    (Springer, 2021) Saad Sh. Sammen; Mohammad Ehteram; S. I. Abba; R. A. Abdulkadir; Ali Najah Ahmed; Ahmed El-Shafie
    The ability to forecast streamflow is crucial, as it can help mitigate flood risks. Long-term stream flow data records are needed for hydropower plant construction, flood prediction, watershed management, and long-term water supply use. An accurate assessment of streamflow is considered as very challenging and critical tasks. A new predicting model is developed in this research, combining the technique of sunflower optimization (SFA) as an evolutionary algorithm with the multi-layer perceptron (MLP) algorithm to predict streamflow in Malaysia's Jam Seyed Omar (JSO) and Muda Di Jeniang (MDJ) stations.