A wavelet-neural network hybrid modelling approach for estimating and predicting river monthly flows;Une approche de modélisation hybride par ondelettes et réseau de neurones pour l'estimation et la prévision des débits mensuels

Hydrological Sciences Journal

Volumn 58, Issue 2, 2013, Pages 374-389

  Wei, Shouke ^a,b,c   Yang, Hong ^a   Song, Jinxi ^d   Abbaspour, Karim ^a   Xu, Zongxue ^e  

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

^b Emodlogic Technology Inc   (Canada)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d NORTHWEST UNIVERSITY   (China)

^e BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Bayesian regularization; instream flow; Levenberg Marquardt; wavelet neural network

Indexed keywords

ANN MODELS; BAYESIAN REGULARIZATION; DISCRETE WAVELETS; FEED-FORWARD MULTILAYER PERCEPTRON; HYBRID MODEL; HYBRID MODELLING; INSTREAM FLOWS; LEVENBERG-MARQUARDT; LEVENBERG-MARQUARDT ALGORITHM; MONTHLY FLOW; MULTI RESOLUTION DECOMPOSITION; NETWORK MODELLING; NETWORK TRAINING; RIVER FLOW; WEIHE RIVERS;

ALGORITHMS; FORECASTING; NEURAL NETWORKS; RIVERS;

ESTIMATION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BAYESIAN ANALYSIS; DISCRETE ELEMENT METHOD; ESTIMATION METHOD; INSTREAM FLOW; NUMERICAL MODEL; PERCEPTION; RIVER FLOW; WAVELET ANALYSIS;

EID: 84874761795     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2012.754102     Document Type: Article

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