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An evolving weighted neuro-neo-fuzzy-ANARX model and its learning proceduresare introduced in the article. This system is basically used for time seriesforecasting. This system may be considered as a pool of elements that processdata in a parallel manner. The proposed evolving system may provide onlineprocessing data streams.

Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model