Suspended sediment estimation and forecasting using artificial neural networks

Turkish Journal of Engineering and Environmental Sciences

Volumn 26, Issue 1, 2002, Pages 15-25

  Ciǧizoǧlu, Hikmet Kerem ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Forecasting; River flow; Suspended sediment

Indexed keywords

FORECASTING; NEURAL NETWORKS; PARAMETER ESTIMATION; RIVERS;

SEDIMENT VALUES;

SEDIMENTS;

NEURAL NETWORK; RIVER; SEDIMENT YIELD; SUSPENDED LOAD;

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; RIVER FLOW; SUSPENDED SEDIMENT;

EID: 0036171294     PISSN: 13000160     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Neural networks and the problem of accumulated error: An embedded solution that offers new opportunities for modelling and testing
2. Auto-regressive neural networks for the modelling of time series
3. River flood forecasting with a neural network model
4. Forecasting river flow rate during low-flow periods using neural networks
5. Neural network estimation of sanitary flows
6. Runoff forecasting using RBF networks with OLS algorithm
7. Regional flood frequency analysis using artificial neural networks
8. Artificial neural network modelling of the rainfall-runoff process
9. Neural network application for modelling hydraulic characteristics of severe contraction
10. Advantages of unit hydrograph derivation by neural networks
11. The LOIS river monitoring network: Strategy and implementation
12. Aquifer-parameter estimation using genetic algorithms and neural networks
13. A neural network model of rainfall-runoff using radial basis functions
14. Artificial neural networks as rainfall runoff models
15. Multivariate modelling of water resources time series using artificial neural networks
16. Neural network-based screening for groundwater reclamation under uncertainity
17. Optimization of groundwater remediation using artificial neural networks with parallel solute transport modelling
18. Using soft computing techniques to enhance flood forecasting on the River Ouse
19. Stochastic models of sediment yield
20. Rainfall-runoff modelling using artificial neural networks
21. Monitoring and preliminary interpretation of in-river turbidity and remote sensed imagery for suspended sediment transport studies in humber catchment
22. Suspended sediment fluxes in the humber catchment