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Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Support Vector Regression
Joint Authors
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Drought forecasts can be an effective tool for mitigating some of the more adverse consequences of drought.
Data-driven models are suitable forecasting tools due to their rapid development times, as well as minimal information requirements compared to the information required for physically based models.
This study compares the effectiveness of three data-driven models for forecasting drought conditions in the Awash River Basin of Ethiopia.
The Standard Precipitation Index (SPI) is forecast and compared using artificial neural networks (ANNs), support vector regression (SVR), and wavelet neural networks (WN).
SPI 3 and SPI 12 were the SPI values that were forecasted.
These SPI values were forecast over lead times of 1 and 6 months.
The performance of all the models was compared using RMSE, MAE, and R2.
The forecast results indicate that the coupled wavelet neural network (WN) models were the best models for forecasting SPI values over multiple lead times in the Awash River Basin in Ethiopia.
American Psychological Association (APA)
Belayneh, A.& Adamowski, J.. 2012. Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Support Vector Regression. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-498642
Modern Language Association (MLA)
Belayneh, A.& Adamowski, J.. Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Support Vector Regression. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-498642
American Medical Association (AMA)
Belayneh, A.& Adamowski, J.. Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Support Vector Regression. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-498642
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498642