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.

Categories: Air, Aliran, Sungai
Tags: Artikel Jurnal, Data Penerbitan, Sulit