A new computational intelligence model for long-term prediction of solar and geomagnetic activity

2Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

This paper briefly describes how the neural structure of fear conditioning has inspired to develop a computational intelligence model that is referred to as the brain emotional learning-inspired model (BELIM). The model is applied to predict long step ahead of solar activity and geomagnetic storms.

Cite

CITATION STYLE

APA

Parsapoor, M., Brooke, J., & Svensson, B. (2015). A new computational intelligence model for long-term prediction of solar and geomagnetic activity. In Proceedings of the National Conference on Artificial Intelligence (Vol. 6, pp. 4192–4193). AI Access Foundation. https://doi.org/10.1609/aaai.v29i1.9704

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free