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Neuro-fuzzy Models for Geomagnetic Storms Prediction: Using the Auroral Electrojet Index
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 & Physical Science, The 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).
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
2014 (English)In: 2014 10th International Conference on Natural Computation (ICNC), Piscataway, NJ: IEEE Press, 2014, 12-17 p., 6975802Conference paper, Published paper (Refereed)
Abstract [en]

This study presents comparative results obtained from employing four different neuro-fuzzy models to predict geomagnetic storms. Two of these neuro-fuzzy models can be classified as Brain Emotional Learning Inspired Models (BELIMs). These two models are BELFIS (Brain Emotional Learning Based Fuzzy Inference System) and BELRFS (Brain Emotional Learning Recurrent Fuzzy System). The two other models are Adaptive Neuro-Fuzzy Inference System (ANFIS) and Locally Linear Model Tree (LoLiMoT) learning algorithm, two powerful neuro-fuzzy models to accurately predict a nonlinear system. These models are compared for their ability to predict geomagnetic storms using the AE index.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2014. 12-17 p., 6975802
Keyword [en]
Adaptive Neuro-fuzzy Inference System, Auroral Electrojet, Brain Emotional Learning-inspired Model, Locally linear model tree learning algorithm
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-26904DOI: 10.1109/ICNC.2014.6975802ISI: 000393406200003Scopus ID: 2-s2.0-84926663387ISBN: 978-1-4799-5151-2 (electronic)OAI: oai:DiVA.org:hh-26904DiVA: diva2:759979
Conference
11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014), Xiamen, China, 19–21 August, 2014
Available from: 2014-11-02 Created: 2014-11-02 Last updated: 2017-03-22Bibliographically approved

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Parsapoor, MahboobehBilstrup, UrbanSvensson, Bertil
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