A nonlinear time series analysis using two-stage genetic algorithms for streamflow forecasting

Hydrological Processes

Volumn 22, Issue 18, 2008, Pages 3697-3711

  Chen, Chang Shian ^a   Liu, Chin Hui ^a   Su, Hui Chen ^a  

^a FENG CHIA UNIVERSITY   (Taiwan)

Author keywords

Autoregressive condition heteroscedasticity model; Bilinear time series; Genetic algorithm; Nonlinear time series; Streamflow forecast; Threshold autoregressive model

Indexed keywords

ALGORITHMS; FORECASTING; GENETIC ALGORITHMS; REUSABILITY; STREAM FLOW; WATER MANAGEMENT;

AUTOREGRESSIVE CONDITION HETEROSCEDASTICITY MODEL; BILINEAR TIME SERIES; FLOW PREDICTIONS; GENETIC ALGORITHM; HIGH-ACCURACY; HYDROLOGICAL DATA; LINEAR TIME; NONLINEAR TIME SERIES; NONLINEAR TIME SERIES MODELING; NONLINEAR TIME-SERIES ANALYSIS; STREAM FLOW FORECASTING; STREAMFLOW FORECAST; THRESHOLD AUTOREGRESSIVE MODEL; TWO STAGES; WATER RESOURCES;

TIME SERIES ANALYSIS;

ACCURACY ASSESSMENT; FLOW MEASUREMENT; FORECASTING METHOD; GENETIC ALGORITHM; NONLINEARITY; PREDICTION; STREAMFLOW; TIME SERIES ANALYSIS;

ASIA; EURASIA; FAR EAST; TAIWAN; WU SHI RIVER;

EID: 52149117436     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.6973     Document Type: Article

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