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

Authors

  • Mahboobeh Parsapoor The University of Manchester
  • John Brooke The University of Manchester
  • Bertil Svensson Halmstad University

DOI:

https://doi.org/10.1609/aaai.v29i1.9704

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.

AAAI 2015 Proceedings Cover

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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

Issue

Vol. 29 No. 1 (2015): Twenty-Ninth AAAI Conference on Artificial Intelligence

Section

Student Abstract Track