Publications:Neuro-Fuzzy Models, BELRFS and LOLIMOT, for Prediction of Chaotic Time Series
From CERES
| Title | Neuro-Fuzzy Models, BELRFS and LOLIMOT, for Prediction of Chaotic Time Series |
|---|---|
| Author | Mahboobeh Parsapoor and Urban Bilstrup |
| Year | 2012 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | INISTA 2012 : International Symposium on Innovations in Intelligent Systems and Applications : 2-4 July, 2012 : Trabzon, Turkey |
| DOI | http://dx.doi.org/10.1109/INISTA.2012.6247025 |
| Conference | International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2012), Trabzon, Turkey, 2-4 July, 2012 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:550803 |
| Abstract | 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. |
