A modified support vector machine based prediction model on streamflow at the Shihmen Reservoir, Taiwan

International Journal of Climatology

Volumn 30, Issue 8, 2010, Pages 1256-1268

  Li, Pei Hao ^a,b   Kwon, Hyun Han ^b   Sun, Liqiang ^c   Lall, Upmanu ^b,c   Kao, Jehng Jung ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b Department of Earth and Environmental Sciences   (United States)

^c NONE   (United States)

Author keywords

Bagging; Climate; Forecast; Streamflow; Support vector machine

Indexed keywords

BAGGING; BOREAL WINTERS; CLIMATE; CLIMATE DATA; CLIMATE FORECASTS; CLIMATE SYSTEM; ECONOMIC LOSS; HIGHLY-CORRELATED; MULTIPLE LINEAR REGRESSIONS; NONLINEAR PATTERN; PARAMETER DETERMINATION; PREDICTION MODEL; SHIH-MEN RESERVOIR; SVM MODEL; WATER AVAILABILITY;

LEARNING ALGORITHMS; LINEAR REGRESSION; MATHEMATICAL MODELS; RESERVOIRS (WATER); STREAM FLOW; SUPPORT VECTOR MACHINES; VECTORS; WATER RESOURCES;

FORECASTING;

CLIMATE; GENETIC ALGORITHM; INFLOW; NUMERICAL MODEL; PREDICTION; RESERVOIR; STREAMFLOW;

SHIHMEN RESERVOIR; TAIWAN;

EID: 77954378095     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.1954     Document Type: Article

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