Estimation and forecasting of daily suspended sediment data using wavelet-neural networks

Journal of Hydrology

Volumn 358, Issue 3-4, 2008, Pages 317-331

  Partal, Turgay ^a   Cigizoglu, H Kerem ^b  

^a DUMLUPINAR UNIVERSITY   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Suspended sediment; Wavelet

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; DISCRETE WAVELET TRANSFORMS; ELECTRIC FAULT LOCATION; ELECTRIC LOAD FORECASTING; ESTIMATION; FORECASTING; HYDRAULIC STRUCTURES; KETONES; LIGHTNING; MODAL ANALYSIS; NEURAL NETWORKS; RIVERS; SEDIMENTOLOGY; TURBULENT FLOW; WATER RESOURCES; WAVELET TRANSFORMS;

ACCURATE PREDICTION; ARTIFICIAL NEURAL NETWORK (ANN) MODELS; ARTIFICIAL NEURAL NETWORK (ANNS); DISCRETE WAVELETS; ESTIMATION METHODS; MEASURED DATA; OBSERVED DATA; PERFORMANCE EVALUATION CRITERIA; RIVER FLOWS; SEDIMENT LOADS; SEDIMENT RATING CURVES; SUSPENDED LOADS; SUSPENDED SEDIMENT LOADS; SUSPENDED SEDIMENTS; WAVELET COMPONENTS; WAVELET SERIES;

SEDIMENTATION;

ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; FORECASTING METHOD; HYDRAULIC STRUCTURE; HYDROLOGICAL MODELING; PREDICTION; STREAM; SUSPENDED SEDIMENT; WAVELET ANALYSIS;

EID: 48649085521     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2008.06.013     Document Type: Article

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