Aplicación de la búsqueda tabú en regresión no lineal
We implement the combinatorial optimization technique known as tabu search in the parameter estimation problem in a given non linear model. For the generation of neighbors, the implementation is based on a discretization of the parameter space, which is covered by a mesh. We present some comparative...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2006 |
| País: | Costa Rica |
| Institución: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Idioma: | español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/269 |
| Acceso en línea: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/269 |
| Access Level: | acceso abierto |
| Palabra clave: | regression parameter estimation combinatorial optimization local minima regresión estimación de parámetros optimización combinatoria mínimos locales |
| Sumario: | We implement the combinatorial optimization technique known as tabu search in the parameter estimation problem in a given non linear model. For the generation of neighbors, the implementation is based on a discretization of the parameter space, which is covered by a mesh. We present some comparative results on real or simulated data. |
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