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An Enhancement of a Learning Procedure in Neuro-Fuzzy Model

In this paper we propose an extended version of the learning algorithm for the hybrid five-layer neuro-fuzzy model. Backpropagation algorithm has been applied to the first layer membership functions centers tuning. The experimental results have shown that introduced enhancement significantly improves accuracy in time-series prediction benchmark tests without significant performance cost.