Swarm intelligence based multivariate polynomial for anchovy catches forecasting

Nibaldo Rodriguez, Eleuterio Yañez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

In this paper, we propose a forecasting model suitably developed to forecast monthly anchovy catches in the north area of Chile. This forecaster is developed in order to combine in the most effective way the capability of the quantum particle swarm optimization algorithm and a reduced multivariate polynomial. The performance evaluation of this model achieves an approximately determination coefficient equal to 93%. Beside, the advantages of the proposed model are reduced parsimony and increasing accuracy precision.

Idioma originalInglés
Título de la publicación alojadaWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference
EditorialWorld Scientific Publishing Co. Pte. Ltd.
Páginas79-84
Número de páginas6
ISBN (versión impresa)981279946X, 9789812799463
DOI
EstadoPublicada - 2008
Publicado de forma externa
EventoComputational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Espana
Duración: 21 sept. 200824 sept. 2008

Serie de la publicación

NombreWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

Conferencia

ConferenciaComputational Intelligence in Decision and Control - 8th International FLINS Conference
País/TerritorioEspana
CiudadMadrid
Período21/09/0824/09/08

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