Hardware Implementation of Fuzzy D Flip-Flop Neurons Based on Łukasiewicz Norms
| Cím | Hardware Implementation of Fuzzy D Flip-Flop Neurons Based on Łukasiewicz Norms |
| Közlemény típusa | Conference Paper |
| Kiadás éve | 2010 |
| Kiadás nyelve | English |
| Oldalszám | 196-201 |
| Szerzők | Lovassy, R., A. H. Zavala, L. Gál, O. C. Nieto, L. T. Kóczy, and I. Batyrshin |
| Konferencia neve | 9th WSEAS Int. Conference on Applied Computer and Applied Computational Science, ACACOS |
| Kiadás dátuma | 2010 |
| Konferencia helyszíne | Hangzhou, 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. |