DROUGHT FORECASTING USING GENETIC ALGORITHM AND CONJOINED MODEL OF NEURAL NETWORK-WAVELET

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HASSANZADEH YOUSEF; ABDI KORDANI AMIN; FAKHERI FARD AHMAD

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Paper Information

Journal: WATER AND WASTEWATER Year:2012 | Volume:23 | Issue:3 (83) Page(s): 48-59

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Information Journal Paper

Title

DROUGHT FORECASTING USING GENETIC ALGORITHM AND CONJOINED MODEL OF NEURAL NETWORK-WAVELET

Author(s)

HASSANZADEH YOUSEF | ABDI KORDANI AMIN | FAKHERI FARD AHMAD | Issue Writer Certificate

Keywords

DROUGHT FORECASTINGQ3

STANDARDIZED PRECIPITATION INDEXQ3

GENETIC ALGORITHMQ2

NEURAL NETWORKQ3

WAVELETQ3

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.

Cites

PREDICTION OF SPI DROUGHT INDEX USING SUPPORT VECTOR AND MULTIPLE LINEAR REGRESSIONS

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APA: Copy

HASSANZADEH, YOUSEF, ABDI KORDANI, AMIN, & FAKHERI FARD, AHMAD. (2012). DROUGHT FORECASTING USING GENETIC ALGORITHM AND CONJOINED MODEL OF NEURAL NETWORK-WAVELET. WATER AND WASTEWATER, 23(3 (83)), 48-59. SID. https://sid.ir/paper/103936/en

Vancouver: Copy

HASSANZADEH YOUSEF, ABDI KORDANI AMIN, FAKHERI FARD AHMAD. DROUGHT FORECASTING USING GENETIC ALGORITHM AND CONJOINED MODEL OF NEURAL NETWORK-WAVELET. WATER AND WASTEWATER[Internet]. 2012;23(3 (83)):48-59. Available from: https://sid.ir/paper/103936/en

IEEE: Copy

YOUSEF HASSANZADEH, AMIN ABDI KORDANI, and AHMAD FAKHERI FARD, “DROUGHT FORECASTING USING GENETIC ALGORITHM AND CONJOINED MODEL OF NEURAL NETWORK-WAVELET,” WATER AND WASTEWATER, vol. 23, no. 3 (83), pp. 48–59, 2012, [Online]. Available: https://sid.ir/paper/103936/en

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