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Neural networks in forecasting models: Nile River application

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4 Author(s)
El Shoura, S. ; Electron. Res. Inst., Cairo, Egypt ; El Sherif, M. ; Atiya, A. ; Shaheen, S.

The neural network approach is applied to the prediction of the flow of the River Nile. A multilayer feedforward network is constructed and trained by the backpropagation algorithm. We propose several different methods for single-step ahead forecast and multi-step ahead forecast in an attempt to get the least prediction error. These methods investigate different ways to preprocess the inputs and the outputs. We consider ten-days ahead forecast and one-month ahead forecast. In both cases good results were observed

Published in:

Circuits and Systems, 1998. Proceedings. 1998 Midwest Symposium on

Date of Conference:

9-12 Aug 1998