Conference Paper

Neuro-fuzzy models, BELRFS and LoLiMoT, for prediction of chaotic time series

DOI: 10.1109/INISTA.2012.6247025 Conference: Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on

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).


Available from: Mahboobeh Parsapoor, Jun 02, 2015
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