Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/45253
Título: Parameter estimation in a three-dimensional wind field model using genetic algorithms
Autores/as: Rodríguez, Eduardo 
Montero, Gustavo 
Montenegro, Rafael 
Escobar, José María 
González-Yuste, José María
Clasificación UNESCO: 12 Matemáticas
Palabras clave: Adaptive mesh refinement
Finite element method
Genetic algorithms
Mass consistent models
Parameter estimation, et al.
Fecha de publicación: 2002
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: International Conference on Computational Science 
International Conference on Computational Science, ICCS 2002 
Resumen: The efficiency of a mass consistent model for wind field adjustment depends on several parameters that arise in various stages of the process. First, those involved in the construction of the initial wind field using horizontal interpolation and vertical extrapolation of the wind measures registered at meteorological stations. On the other hand, the Gauss precision moduli which allow from a strictly horizontal wind adjustment to a pure vertical one. In general, the values of all of these parameters are based on empirical laws. The main goal of this work is the estimation of these parameters using genetic algorithms, such that the wind velocities observed at the measurement station are regenerated as much as possible by the model.
URI: http://hdl.handle.net/10553/45253
ISBN: 978-3-540-43591-4
3540435913
ISSN: 0302-9743
DOI: 10.1007/3-540-46043-8_96
Fuente: Sloot P.M.A., Hoekstra A.G., Tan C.J.K., Dongarra J.J. (eds) Computational Science — ICCS 2002. Lecture Notes in Computer Science, vol 2329, p. 950-959. Springer, Berlin, Heidelberg
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