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

TitleHardware Implementation of Fuzzy D Flip-Flop Neurons Based on Łukasiewicz Norms
Publication TypeConference Paper
Year of Publication2010
Publication LanguageEnglish
Pagination196-201
AuthorsLovassy, R., A. H. Zavala, L. Gál, O. C. Nieto, L. T. Kóczy, and I. Batyrshin
Conference Name9th WSEAS Int. Conference on Applied Computer and Applied Computational Science, ACACOS
Date Published2010
Conference LocationHangzhou, China
Abstract

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.
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