Abstract
Single hydrological model or model calibrated on single objective function often cannot capture all components of a water motion process. One possibility is building several specialized models each of which responsible for a particular sub-process (e.g., high flows or low flows), and combining them using dynamic weights – thus forming a committee model. In this study, we test two different committee models: one uses fuzzy memberships function and
another one - weights calculated from hydrological states. Specialized models are calibrated using Adaptive Cluster Covering Algorithm with different objective functions. The performances of the two different committee models are illustrated and compared.
another one - weights calculated from hydrological states. Specialized models are calibrated using Adaptive Cluster Covering Algorithm with different objective functions. The performances of the two different committee models are illustrated and compared.
Original language | English |
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Title of host publication | Proceedings of the HIC 2014 - 11th international conference on hydroinformatics |
Editors | M Piasecki |
Pages | 685-689 |
Publication status | Published - 2014 |
Event | 11th International Conference on Hydroinformatics - New York, United States Duration: 17 Aug 2014 → 21 Aug 2014 Conference number: 11 http://academicworks.cuny.edu/cc_conf_hic/ |
Publication series
Name | |
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Publisher | s.n. |
Conference
Conference | 11th International Conference on Hydroinformatics |
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Abbreviated title | HIC 2014 |
Country/Territory | United States |
City | New York |
Period | 17/08/14 → 21/08/14 |
Internet address |
Keywords
- combination of models
- fuzzy committee model
- multi-models
- specialized models