Title :
The ternary-encoded fuzzy-neural networks
Author :
Semenova, Olena ; Semenov, Andriy ; Koval, Kostyantyn ; Galka, Andriy
Author_Institution :
Vinnytsya Nat. Tech. Univ., Vinnytsya, Ukraine
Abstract :
When combining fuzzy logic and neural networks it is possible to get a hybrid system that can process uncertain values and can be trained. Fuzzy logic elements can be regarded as fuzzy-neural networks. In order to present a set of fuzzy values the ternary encoding is used.
Keywords :
fuzzy logic; fuzzy neural nets; ternary codes; fuzzy logic element; fuzzy value; hybrid system; ternary encoding; ternary-encoded fuzzy neural networks; uncertain values; fuzzy; maximum; minimum; neural; ternary;
Conference_Titel :
Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), 2012 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-1-4673-0283-8
