A new computational intelligence model for long-term prediction of solar and geomagnetic activity
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
2019-10-172019-10-172019-10-17Bibliographically approved