Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model
Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko · International Journal of Information Technology and Computer Science · 2016
An evolving weighted neuro-neo-fuzzy-ANARX model and its learn ing procedures are introduced in the article.This system is basically used for time series forecasting.It's based on neo-fuzzy elements.This system may be considered as a pool of elements that process data in a parallel manner.The proposed evolving system may provide online processing data streams.