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A new computational intelligence model for long-term prediction of solar and geomagnetic activity
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
School of Computer Science, Faculty of Engineering and Physical Science, University of Manchester, Manchester, United Kingdom.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0001-6625-6533
2015 (English)In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015, Vol. 6, p. 4192-4193Conference paper, Published paper (Refereed)
Abstract [en]

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. © Copyright 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Place, publisher, year, edition, pages
2015. Vol. 6, p. 4192-4193
Keywords [en]
Geomagnetism, Intelligent control, Solar energy, Brain emotional learning, Geomagnetic activities, Geomagnetic storm, Long-term prediction, Neural structures, Solar activity, Artificial intelligence
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:hh:diva-40218ISI: 000485625504058Scopus ID: 2-s2.0-84961217355ISBN: 0-262-51129-0 (print)OAI: oai:DiVA.org:hh-40218DiVA, id: diva2:1361835
Conference
29th AAAI Conference on Artificial Intelligence, (AAAI 2015), Austin, United States, January 25-30, 2015
Available from: 2019-10-17 Created: 2019-10-17 Last updated: 2019-10-17Bibliographically approved

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Parsapoor, MahboobehSvensson, Bertil

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf