Genetic programming and standardization in water temperature modelling
Por:
Arganis M., Val R., Prats J., Rodríguez K., Domínguez R., Dolz J.
Publicada:
1 ene 2009
Categoría:
Civil and Structural Engineering
Resumen:
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. © 2009 Maritza Arganis et al.
Filiaciones:
Arganis M.:
Instituto de Ingeniería, UNAM, Ciudad Universitaria, Edificio 5, Cub. 403, 04510 México, DF, Mexico
Val R.:
Facultad de Ingeniería, UNAM, Ciudad Universitaria, 04510 México, DF, Mexico
Prats J.:
Department of Hydraulic Engineering, Maritime and Environmental, Universidad Politécnica de Catalunya, C/ Jordi Girona1-3, 08034 Barcelona, Spain
Rodríguez K.:
Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Ciudad Universitaria, 04510 México, DF, Mexico
Domínguez R.:
Instituto de Ingeniería, UNAM, Ciudad Universitaria, Edificio 5, Cub. 403, 04510 México, DF, Mexico
Dolz J.:
Department of Hydraulic Engineering, Maritime and Environmental, Universidad Politécnica de Catalunya, C/ Jordi Girona1-3, 08034 Barcelona, Spain
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