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Genetic Programming and Standardization in Water Temperature Modelling
An application of Genetic Programming (an evolutionary computational tool) without and with standardization data is presented with the aim of modeling the behavior of the water temperature in a river in terms of meteorological variables that are easily measured, to explore their explanatory power an...
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Published in: | Advances in civil engineering 2009-01, Vol.2009 (2009), p.1-10 |
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container_title | Advances in civil engineering |
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creator | Arganis, Maritza Val, Rafael Prats, Jordi Rodríguez, Katya Domínguez, Ramón Dolz, Josep |
description | An application of Genetic Programming (an evolutionary computational tool) without and with standardization data is presented with the aim of modeling the behavior of the water temperature in a river in terms of meteorological variables that are easily measured, to explore their explanatory power and to emphasize the utility of the standardization of variables in order to reduce the effect of those with large variance. Recorded data corresponding to the water temperature behavior at the Ebro River, Spain, are used as analysis case, showing a performance improvement on the developed model when data are standardized. This improvement is reflected in a reduction of the mean square error. Finally, the models obtained in this document were applied to estimate the water temperature in 2004, in order to provide evidence about their applicability to forecasting purposes. |
doi_str_mv | 10.1155/2009/353960 |
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subjects | Aquatic life Civil engineering Mutation Optimization algorithms Standard deviation Standardization Studies Water quality Weather |
title | Genetic Programming and Standardization in Water Temperature Modelling |
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