River flow forecasting using different artificial neural network algorithms and wavelet transform

Canadian Journal of Civil Engineering

Volumn 36, Issue 1, 2009, Pages 26-39

  Partal, Turgay ^a  

^a DUMLUPINAR UNIVERSITY   (Turkey)

Author keywords

Feed forward back propagation neural network; Forecasting; Generalized regression neural network; Monthly flow; Radial basis neural network; Wavelet transform

Indexed keywords

ARTIFICIAL NEURAL NETWORK ALGORITHMS; ARTIFICIAL NEURAL NETWORK MODELING; ARTIFICIAL NEURAL NETWORKS; FEED-FORWARD BACK-PROPAGATION METHODS; FEED-FORWARD BACK-PROPAGATION NEURAL NETWORK; GENERALIZED NEURAL NETWORKS; GENERALIZED REGRESSION NEURAL NETWORK; MEASURED DATUM; MONTHLY FLOW; NEURAL NETWORK STRUCTURES; PERFORMANCE CRITERION; PERIODIC COMPONENTS; POSITIVE EFFECTS; RADIAL BASIS NEURAL NETWORK; RIVER FLOW FORECASTING; RIVER FLOWS; WATER RESOURCES DATUM;

BACKPROPAGATION; BRIDGE PIERS; CHEMICAL SENSORS; DISCRETE WAVELET TRANSFORMS; FLOW OF WATER; FORECASTING; MATHEMATICAL TRANSFORMATIONS; RADIAL BASIS FUNCTION NETWORKS; RIVERS; TORSIONAL STRESS; WATER RESOURCES;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; FORECASTING METHOD; MODELING; RIVER FLOW;

EID: 65249094814     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/L08-090     Document Type: Article

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