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Neuro-Fuzzy Models, BELRFS and LOLIMOT, for Prediction of Chaotic Time Series
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES).
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Centrum för forskning om inbyggda system (CERES).
2012 (engelsk)Inngår i: INISTA 2012: International Symposium on Innovations in Intelligent Systems and Applications : 2-4 July, 2012 : Trabzon, Turkey, Piscataway, N.J.: IEEE Press, 2012, s. Article number 6247025-, artikkel-id 624702Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper suggests a novel learning model for prediction of chaotic time series, brain emotional learning-based recurrent fuzzy system (BELRFS). The prediction model is inspired by the emotional learning system of the mammal brain. BELRFS is applied for predicting Lorenz and Ikeda time series and the results are compared with the results from a prediction model based on local linear neuro-fuzzy models with linear model tree algorithm (LoLiMoT). © 2012 IEEE.

sted, utgiver, år, opplag, sider
Piscataway, N.J.: IEEE Press, 2012. s. Article number 6247025-, artikkel-id 624702
Emneord [en]
brain emotional learning, LoLiMoT, neuro-fuzzy mode, prediction chaotic time series
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-19529DOI: 10.1109/INISTA.2012.6247025Scopus ID: 2-s2.0-84866603396ISBN: 978-1-4673-1446-6 (tryckt)ISBN: 978-1-4673-1448-0 (digital)OAI: oai:DiVA.org:hh-19529DiVA, id: diva2:550803
Konferanse
International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2012), Trabzon, Turkey, 2-4 July, 2012
Tilgjengelig fra: 2012-09-07 Laget: 2012-09-07 Sist oppdatert: 2018-03-22bibliografisk kontrollert

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