A Novel Neural Fuzzy Network Using a Hybrid Evolutionary Learning Algorithm

Prediction has been widely studied for many years as time series analysis (Box & Jenkins, 1970; Tong, 1990). Traditionally, prediction is based on a statistical model that is either linear or nonlinear (Li et al., 1990). Recently, several studies have adopted neural fuzzy networks to predict time series (Cowder, 1990; Kasabov & Song, 2002; Ling et al., 2003). Researchers have discussed that the network paradigm is a very useful model for predicting time series and especially for predicting nonlinear time series. ABSTRACT

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