Applications of neuro-fuzzy system ANFIS for predictions of time series

This paper presents the calculations, which have been carried out on the base of the chosen technological process. The data set is a realization of a very high variation stochastic process, with constant mean value and white noise disturbances. The results of the ANFIS predictions depend on the number of data in the dataset as well as on the number of fuzzy sets in the neuro-fuzzy structure. When the dataset number and the number of fuzzy sets are increasing, then the absolute error and relative error are clearly decreasing.

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Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).