SUNSPOT SERIES PREDICTION USING ADAPTIVE IDENTIFICATION

Juan A. Gómez Pulido, Miguel A. Vega Rodríguez, José Mª Granado Criado, Juan M. Sánchez Pérez

Abstract

In this paper a parallel and adaptive methodology for optimizing the time series prediction using System Identification is shown. In order to validate this methodology, a set of time series based on the sun activity measured during the 20th century have been used. The prediction precision for short and long term improves with this technique when it is compared with the found results using System Identification with classical values for the main parameters.

References

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Paper Citation


in Harvard Style

A. Gómez Pulido J., A. Vega Rodríguez M., Mª Granado Criado J. and M. Sánchez Pérez J. (2005). SUNSPOT SERIES PREDICTION USING ADAPTIVE IDENTIFICATION . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-31-7, pages 224-228. DOI: 10.5220/0001166202240228


in Bibtex Style

@conference{icinco05,
author={Juan A. Gómez Pulido and Miguel A. Vega Rodríguez and José Mª Granado Criado and Juan M. Sánchez Pérez},
title={SUNSPOT SERIES PREDICTION USING ADAPTIVE IDENTIFICATION},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2005},
pages={224-228},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001166202240228},
isbn={972-8865-31-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - SUNSPOT SERIES PREDICTION USING ADAPTIVE IDENTIFICATION
SN - 972-8865-31-7
AU - A. Gómez Pulido J.
AU - A. Vega Rodríguez M.
AU - Mª Granado Criado J.
AU - M. Sánchez Pérez J.
PY - 2005
SP - 224
EP - 228
DO - 10.5220/0001166202240228