@misc{Bodyanskiy_Yevgeniy_Hybrid_2011,
 author={Bodyanskiy, Yevgeniy and Vynokurova, Olena},
 year={2011},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 description={Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics, 2011, Nr 202, s. 9-21},
 publisher={Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu},
 language={eng},
 abstract={In the paper the hybrid type-2 wavelet-neuro-fuzzy-system architecture is proposed. Such a system is approximated by an ensemble of type-1 wavelet-neuro-fuzzy-systems. The distinctive feature of the proposed system is usage of the type-2 fuzzy wavelets membership functions in the antecedent layer and the adaptive multidimensional wavelets as the activation functions in the consequent layers. The learning algorithms for all antecedent and consequent functions’ parameters and procedure of model type-reduction and defuzzification are proposed},
 title={Hybrid type-2 wavelet-neuro-fuzzy network for prediction of business processes},
 type={artykuł},
 keywords={fuzzy systems, network systems, learning algorithm},
}