A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity
DOI:
https://doi.org/10.1609/aaai.v29i1.9704Abstract
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.
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Published
2015-03-04
How to Cite
Parsapoor, M., Brooke, J., & Svensson, B. (2015). A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9704
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