@misc{Bodyanskiy_Yevgeniy_Multilayer_2008,
 author={Bodyanskiy, Yevgeniy and Popov, Sergiy},
 year={2008},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 publisher={Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu},
 description={Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics; 2008; Nr 25, s. 9-14},
 language={eng},
 abstract={A new neuron architecture named Neuro-Fuzzy Unit (NFU) is proposed, which is a generalization of elementary Rosenblatt's neuron and Neo-Fuzzy Neuron (NFN) by Yamakawa. NFU eliminates drawbacks of NFN, which complicate its application in multilayer networks. A learning algorithm based on gradient back-propagation procedure is introduced. The obtained results are confirmed by networks comparison in the task of short-term forecasting of electric load time series.},
 title={Multilayer Network of Neuro-Fuzzy Units in Forecasting Applications},
 type={artykuł},
}