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Applied Computational Intelligence and Soft Computing
Volume 2012 (2012), Article ID 794061, 13 pages
http://dx.doi.org/10.1155/2012/794061
Research Article

Standard Precipitation Index Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Support Vector Regression

Department of Bioresource Engineering, Faculty of Agricultural and Environmental Sciences, McGill University, QC, Canada H9X 3V9

Received 24 February 2012; Accepted 18 July 2012

Academic Editor: Quek Hiok Chai

Copyright © 2012 A. Belayneh and J. Adamowski. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Joo-Heon Lee, Jong-Suk Kim, Ho-Won Jang, and Jang-Choon Lee, “Drought Forecasting Using the Multi Layer Perceptron (MLP) Artificial Neural Network Model,” Journal of Korea Water Resources Association, vol. 46, no. 12, pp. 1249–1263, 2013. View at Publisher · View at Google Scholar
  • A. Belayneh, J. Adamowski, B. Khalil, and B. Ozga-Zielinski, “Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural networks and wavelet support vector regression models,” Journal of Hydrology, 2013. View at Publisher · View at Google Scholar
  • A. Belayneh, B. Khalil, and B. Ozga-Zielinski, “Long-term SPI drought forecasting in the Awash River Basin in Ethiopia usin g wavelet neural network and wavelet support vector regression models,” Journal of Hydrology, vol. 508, pp. 418–429, 2014. View at Publisher · View at Google Scholar