Takagi–Sugeno fuzzy inference system for modeling stage–discharge relationship
- 1 November 2006
- journal article
- Published by Elsevier BV in Journal of Hydrology
- Vol. 331 (1-2), 146-160
- https://doi.org/10.1016/j.jhydrol.2006.05.007
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Neural networks and M5 model trees in modelling water level–discharge relationshipNeurocomputing, 2004
- A fuzzy neural network model for deriving the river stage—discharge relationshipHydrological Sciences Journal, 2003
- A systematic over-estimation of flowsJournal of Hydrology, 2000
- From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptionsIEEE Transactions on Circuits and Systems I: Regular Papers, 1999
- A decision support system for the analysis and use of stage-discharge rating curvesJournal of Hydrology, 1996
- A computer-based system for modelling the stage-discharge relationships in steady state conditionsHydrological Sciences Journal, 1994
- Identification of fuzzy relational model and its application to controlFuzzy Sets and Systems, 1993
- ANFIS: adaptive-network-based fuzzy inference systemIEEE Transactions on Systems, Man, and Cybernetics, 1993
- An identification algorithm in fuzzy relational systemsFuzzy Sets and Systems, 1984
- River flow forecasting through conceptual models part I — A discussion of principlesJournal of Hydrology, 1970