## Abstract Output generated by hydrologic simulation models is traditionally calibrated and validated using split‐samples of observed time series of total water flow, measured at the drainage outlet of the river basin. Although this approach might yield an optimal set of model parameters, capable
✦ LIBER ✦
Multi-objective parameter estimation via minimal correlation criterion
✍ Scribed by Márcio F.S. Barroso; Ricardo H.C. Takahashi; Luis A. Aguirre
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 281 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0959-1524
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Parameter estimation in semi-distributed
✍
Hamed Rouhani; Patrick Willems; Guido Wyseure; Jan Feyen
📂
Article
📅
2007
🏛
John Wiley and Sons
🌐
English
⚖ 310 KB
👁 1 views
Efficient nonlinear parameter estimation
✍
Jane B. Hazelrig; Eugene Ackerman; Malcolm E. Turner Jr.
📂
Article
📅
1979
🏛
Elsevier Science
🌐
English
⚖ 910 KB
Nonlinear parameter estimates must be obtained by Iterative processes that can consume large amounts of computer time, so it is important that the function minimization or optimization process be efficient. Standard algorithms are based on varying hypotheses about the hypersurface of the objective f