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Genetic Programming and Standardization in Water Temperature Modelling

Auteur(s):





Médium: article de revue
Langue(s): anglais
Publié dans: Advances in Civil Engineering, , v. 2009
Page(s): 1-10
DOI: 10.1155/2009/353960
Abstrait:

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.

Copyright: © 2009 Maritza Arganis et al.
License:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 3.0 (CC-BY 3.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée.

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    sur cette fiche
  • Reference-ID
    10177062
  • Publié(e) le:
    07.12.2018
  • Modifié(e) le:
    02.06.2021
 
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