The ternary-encoded fuzzy-neural networks
Olena O. Semenova, Andriy Semenov, Kostyantyn Koval, Andriy Galka · International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science · 2012
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.