Multistep Modeling of Hydroclimatic Phenomena Using Wavelet-Neural Network Seasonal Model

Authors

1 Faculty of Civil Engineering - University of Tabriz

2 Faculty of Civil Engineering, University of Tabriz, Tabriz. Iran

3 Faculty of Civil Engineering, University of Bonab, Bonab , Iran

Abstract

In the present paper, the ability of the Artificial Neural Network (ANN) and combined wavelet-neural network (WANN) model were investigated for multistep modeling of hydroclimatic processes with the least input. For this purpose, the ANN model and then the WANN model were used to predict one to twelve steps in advance. Finally, the efficiencies of all models were examined using the evaluation criteria, and all models were compared with each other.

Keywords


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