A comparison between neural-network forecasting techniques-case study: river flow forecasting

@article{Atiya1999ACB,
  title={A comparison between neural-network forecasting techniques-case study: river flow forecasting},
  author={Amir F. Atiya and S. M. El-Shoura and Samir I. Shaheen and M. S. El-Sherif},
  journal={IEEE transactions on neural networks},
  year={1999},
  volume={10 2},
  pages={402-9}
}
Estimating the flows of rivers can have significant economic impact, as this can help in agricultural water management and in protection from water shortages and possible flood damage. The first goal of this paper is to apply neural networks to the problem of forecasting the flow of the River Nile in Egypt. The second goal of the paper is to utilize the time series as a benchmark to compare between several neural-network forecasting methods.We compare between four different methods to… CONTINUE READING
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