Simulating and predicting river discharge time series using a wavelet-neural network hybrid modelling approach

Hydrological Processes

Volumn 26, Issue 2, 2012, Pages 281-296

  Wei, Shouke ^a   Song, Jinxi ^b   Khan, Nasreen Islam ^a,c  

^a SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

^b NORTHWEST UNIVERSITY   (China)

^c UNIVERSITY OF DHAKA   (Bangladesh)

Author keywords

Artificial neural network; River discharge; Wavelet; Weihe River

Indexed keywords

ACCURATE PREDICTION; ARTIFICIAL NEURAL NETWORK; DISCRETE WAVELETS; DYNAMIC BEHAVIOURS; HIGH FREQUENCY CHARACTERISTICS; HYBRID MODELLING; INPUT DATAS; NON-LINEAR MODEL; RIVER DISCHARGE; TIME INTERVAL; TIME-SERIES DATA; WATERSHED MANAGEMENT; WAVELET;

COMPUTER SIMULATION; FORECASTING; RIVERS; TIME SERIES; WATER CONSERVATION; WATER MANAGEMENT; WAVELET DECOMPOSITION;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; PREDICTION; RIVER DISCHARGE; TIME SERIES; WATER MANAGEMENT; WATERSHED; WAVELET ANALYSIS;

CHINA; WEI RIVER;

EID: 84855462883     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.8227     Document Type: Article

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