Drought Forecasting Using Genetic Algorithm and Conjoined Model of Neural Network-Wavelet

Document Type : Research Paper

Authors

1 Prof. of Civil Eng., Dept. of Water Eng., University of Tabriz, Tabriz

2 Ph.D. Student of Civil Eng., Dept. of Water Eng., University of Tabriz, Tabriz

3 Assoc. Prof. of Water Eng., College of Agriculture, University of Tabriz, Tabriz

Abstract

Drought is one of the important natural disasters that may happen in any climate conditions. Since drought is inevitable phenomenon, therefore familiar with that natural disaster is very important for reliable water management. Drought prediction system design is one of the efficient ways that it can minimize the drought damages. In this research for predicting the coming drought, genetic algorithm and conjoined model of neural network-wavelet is used for analyzing standardized precipitation index. The results show that genetic algorithm and conjoined model of neural network-wavelet is more satisfactory than genetic algorithm and neural network.

Keywords

References

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Journal of Water and Wastewater; Ab va Fazilab ( in persian )
Volume 23, Issue 3 - Serial Number 3
Serial number:83
September and October 2012
Pages 48-59

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