A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction
- 1 May 2001
- journal article
- Published by Elsevier BV in Journal of Hydrology
- Vol. 245 (1-4), 153-164
- https://doi.org/10.1016/s0022-1694(01)00350-x
Abstract
No abstract availableThis publication has 23 references indexed in Scilit:
- Application of fuzzy rule-based modeling technique to regional droughtJournal of Hydrology, 1999
- Fuzzy rule-based approach to describe solute transport in the unsaturated zoneJournal of Hydrology, 1999
- A non-linear rainfall–runoff model using an artificial neural networkJournal of Hydrology, 1999
- Application of a neural network technique to rainfall-runoff modellingJournal of Hydrology, 1997
- Rainfall estimation using artificial neural network groupNeurocomputing, 1997
- A fuzzy rule-based approach to drought assessmentWater Resources Research, 1996
- Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins modelNeurocomputing, 1996
- Fast self-learning multivariable fuzzy controllers constructed from a modified CPN networkInternational Journal of Control, 1994
- Applications of counterpropagation networksNeural Networks, 1988
- COUNTERPROPAGATION NETWORKSApplied Optics, 1987