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Hardware Implementation of Fuzzy D Flip-Flop Neurons Based on Łukasiewicz Norms

CímHardware Implementation of Fuzzy D Flip-Flop Neurons Based on Łukasiewicz Norms
Közlemény típusaConference Paper
Kiadás éve2010
Kiadás nyelveEnglish
Oldalszám196-201
SzerzőkLovassy, R., A. H. Zavala, L. Gál, O. C. Nieto, L. T. Kóczy, and I. Batyrshin
Konferencia neve9th WSEAS Int. Conference on Applied Computer and Applied Computational Science, ACACOS
Kiadás dátuma2010
Konferencia helyszíneHangzhou, China
Összefoglalás

The digital hardware implementation of various fuzzy operations furthermore of fuzzy flip-flops has been the subject of intense study and application. The fuzzy D flip-flop derived from fuzzy J-K one is a single input - single output unit with sigmoid transfer characteristics in some particular cases, proper to use as neuron in Fuzzy Neural Networks (FNN). In this paper we propose the hardware realization of fuzzy D flip-flop neurons based on Łukasiewicz norms.