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Details for article 2 of 10 found articles
| Title: |
A fuzzy neural network model for deriving the river stage—discharge relationship / Un modele de type reseau de neurones flou pour l'etablissement de courbe de tarage |
| Author: |
DEKA, PARESH CHANDRAMOULI, V. |
| Appeared in: |
Hydrological sciences journal |
| Paging: | Volume 48 (2003) nr. 2 pages 197-209 |
| Year: |
2003-04-01 |
| Contents: |
The measurement of discharge in major rivers is very important and serves as the base information for hydrological analysis. The rating curve is used to assess the discharge from the measured stage values in the gauging sites. The rating curve has important bearing on the correct assessment of discharge. The usefulness of the fuzzy neural network modelling approach in deriving the stage—discharge relationship is discussed. The performances of a neural network model, a modularized neural network model, a conventional curve-fitting approach and a fuzzy neural network model for deriving the rating curve are compared using a case study. Overall, the fuzzy neural network model gives the best results. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 10 found articles
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