Hybrid Type-2 Wavelet-neuro-fuzzy Network for Prediction of Business Processes

• Autorzy: Yevgeniy Bodyanskiy , Olena Vynokurova

Warianty tytułu

Sieć typu hybrid type-2 wavelet-neuro-fuzzy network do prognozowania procesów biznesowych

• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

W artykule przedstawiono koncepcje architektury systemu hybrydowego type-2 wavelet-neuro-fuzzy-system. Taki system jest rozszerzeniem zestawu systemu type-1 wavelet-neuro-fuzzy. Odrębną własnością proponowanego rozwiązania jest wykorzystanie funkcji uczestnictwa type-2 rozmytego uczestnictwa w poprzedzających warstwach oraz adaptacyjne wielowymiarowe fale elementarne jako funkcji aktywizacyjnej. Zaprezentowano algorytmy dla wszystkich parametrów funkcji uczących i dla wszystkich parametrów funkcyjnych w procesie wykorzystania warstwy i adaptacyjnych zestawu. Zaproponowano algorytmy uczące dla wszystkich parametrów jako funkcji uczestnictwa oraz procedurę modelu typu redukcyjnego, a także uwzględniono defuzyfikację. (abstrakt oryginalny)

Słowa kluczowe

EN

Fuzzy systems; Algorithms

PL

Systemy rozmyte; Algorytmy

• Czasopismo: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Informatyka Ekonomiczna
• Rocznik: 2011
• Tom: 21
• Numer: nr 202
• Strony: 9--21

Twórcy

autor

Yevgeniy Bodyanskiy

• Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

autor

Olena Vynokurova

• Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

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