Prediction of solar conditions by emotional learning

Authors:
T. Babaie;R. Karimizandi;C. Lucas
Affiliations:
(Correspd. Tel.: +98 21 8866 5232/ E-mail: t.babaie@ece.ut.ac.ir) Center of Excellence for Control and Intelligent Processing, Elec. and Comp. Eng. Dept., Faculty of Eng., University of Tehran, P. ...;Center of Excellence for Control and Intelligent Processing, Electrical and Computer Engineering Department, Faculty of Engineering, University of Tehran, P.O. Box: 11365-4563, Tehran, Iran;Ctr. of Excellence for Control and Intell. Proc., Elec. and Comp. Eng. Dept. Fac. of Eng., Univ. of Tehran, Tehran, Iran. P.O. Box: 11365-4563 and Sch. of Intell. Sys., Inst. for studies in theore ...
Venue:
Intelligent Data Analysis
Year:
2006

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Abstract

The increased dependence of human life-world on earth upon orbiting satellites and the threat of solar events that could cause serious damage have triggered a new surge of space weather forecasting research. In this paper, we propose a physiologically motivated prediction methodology for trading off general precision with improved predictive performance in regions of higher interest. Results are compared to very accurate forecasts of ground based geomagnetic activity index (K) and sunspot number obtained by a neuro-fuzzy technique. It has been shown that we can design powerful alert system by using computationally intelligent forecasting techniques.