Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting

Journal of Hydrology

Volumn 519, Issue PD, 2014, Pages 2822-2831

  Liu, Zhiyong ^a   Zhou, Ping ^b   Chen, Gang ^c   Guo, Ledong ^b  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b GUANGDONG ACADEMY OF FORESTRY   (China)

^c RESEARCH INSTITUTE OF FORESTRY   (China)

Author keywords

Indiana; Model averaging; Streamflow forecasting; Support vector regression; Wavelet analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; DISCRETE WAVELET TRANSFORMS; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEAN SQUARE ERROR; REGRESSION ANALYSIS; STREAM FLOW; WAVELET ANALYSIS;

AKAIKE'S INFORMATION CRITERIONS; AVERAGING TECHNIQUE; ENSEMBLE PREDICTION; INDIANA; MACHINE LEARNING METHODS; MODEL AVERAGING; STREAMFLOW FORECASTING; SUPPORT VECTOR REGRESSION (SVR);

WAVELET DECOMPOSITION;

EID: 84918773671     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.06.050     Document Type: Article

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