IIIrd World Aqua Congress, 02–04 Dec 2009 · Stein Auditorium, IHC New Delhi

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From the abstract

1 Assistant professor, Department of Irrigation and Drainage Engineering, University of Tehran, Iran 2 M.Sc. Student, Water Resources Engineering, University of Tehran, Iran 3M.Sc. Irrigation and Drainage Engineering, University of Tehran, Iran ABSTRACT: This paper provides a solution for Dez reservoir inflow forecasting using an artificial neural network model (ANN) and a multiple regression model. Moreover it aims to define the best pattern with spatial and temporal correlation, in daily time scale, among stations on dam upstream, in two scenarios.

Abstracts 1 Author

An Artificial Neural Network Model, Detecting Daily Correlation Among Stations In Reservoir Inflow Forecasting