A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam
- 29 June 2006
- journal article
- Published by Springer Nature in Water Resources Management
- Vol. 21 (3), 533-556
- https://doi.org/10.1007/s11269-006-9027-1
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Real-time short-term natural water inflows forecasting using recurrent neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Multivariate Reservoir Inflow Forecasting Using Temporal Neural NetworksJournal of Hydrologic Engineering, 2001
- Improving extreme hydrologic events forecasting using a new criterion for artificial neural network selectionHydrological Processes, 2001
- A counterpropagation fuzzy-neural network modeling approach to real time streamflow predictionJournal of Hydrology, 2001
- Daily reservoir inflow forecasting using artificial neural networks with stopped training approachJournal of Hydrology, 2000
- Multivariable Neurofuzzy Control of an Autonomous Underwater VehicleIntegrated Computer-Aided Engineering, 1999
- Planning Reservoir Operations with Imprecise ObjectivesJournal of Water Resources Planning and Management, 1997
- Rainfall forecasting in space and time using a neural networkJournal of Hydrology, 1992
- A Neural Network Approach to Inversion of Snow Water Equivalent from Passive Microwave MeasurementsHydrology Research, 1992
- Theory of T-norms and fuzzy inference methodsFuzzy Sets and Systems, 1991