ML Anthology

A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity

Mahboobeh Parsapoor, John Brooke, Bertil Svensson
AAAI 2015 pp. 4192-4193
doi:10.1609/AAAI.V29I1.9704 /aaai/2015/parsapoor2015aaai-new/

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.

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Text

Parsapoor et al. "A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9704

Markdown

[Parsapoor et al. "A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/parsapoor2015aaai-new/) doi:10.1609/AAAI.V29I1.9704

BibTeX

@inproceedings{parsapoor2015aaai-new,
  title     = {{A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity}},
  author    = {Parsapoor, Mahboobeh and Brooke, John and Svensson, Bertil},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {4192-4193},
  doi       = {10.1609/AAAI.V29I1.9704},
  url       = {https://mlanthology.org/aaai/2015/parsapoor2015aaai-new/}
}