Flood water level modelling and prediction using artificial neural network: Case study of Sungai Batu Pahat in Johor

@article{Adnan2012FloodWL,
  title={Flood water level modelling and prediction using artificial neural network: Case study of Sungai Batu Pahat in Johor},
  author={Ramli Adnan and Fazlina Ahmat Ruslan and Abd. Manan Samad and Zainazlan Md Zain},
  journal={2012 IEEE Control and System Graduate Research Colloquium},
  year={2012},
  pages={22-25}
}
Flood water level prediction has long been the earliest forecasting problems that have attracted the interest of many researchers. Accurate prediction of flood water level is extremely importance as an early warning system to the public to inform them about the possible incoming flood disaster. Using the collected data at the upstream and downstream station of a river, this paper proposes a modelling of flood water level at downstream station using back propagation neural network (BPN). In… CONTINUE READING
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