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

Volumn 508, Issue , 2014, Pages 418-429

  Belayneh, A ^a   Adamowski, J ^a   Khalil, B ^a   Ozga Zielinski, B ^b  

^a MCGILL UNIVERSITY   (Canada)

^b WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Africa; ANN; Drought forecasting; SPI; Support vector regression; Wavelet transforms

Indexed keywords

AFRICA; ANN; MACHINE LEARNING TECHNIQUES; SPI; STANDARD PRECIPITATION INDICES; SUPPORT VECTOR REGRESSION (SVR); WAVELET NEURAL NETWORKS; WAVELET SUPPORT VECTOR REGRESSIONS;

DROUGHT; LEARNING SYSTEMS; NEURAL NETWORKS; POWER TRANSFORMERS; WATERSHEDS; WAVELET TRANSFORMS;

WEATHER FORECASTING;

ARTIFICIAL NEURAL NETWORK; CLIMATE MODELING; DROUGHT; PERSISTENCE; REGRESSION ANALYSIS; RIVER BASIN; WAVELET ANALYSIS; WEATHER FORECASTING;

AWASH BASIN; ETHIOPIA;

EID: 84890235995     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.10.052     Document Type: Article

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