A study of ternary fuzzy processor using neural networks
Masahiro Sakamoto, Michitada Morisue · 2002
A novel ternary fuzzy processor using logic oriented neural networks is proposed, and the simulation results are illustrated to show how a ternary fuzzy inference engine can be realized by taking into consideration the advantages of neural networks. The principle of constructing a ternary processor using neural networks is described in detail and the simulation results for a novel Max circuit, which is the essential circuit of the fuzzy inference engine, are given. The features of the proposed processor are capability of high speed operation, and very simple construction with a reduced number of elements to perform the function of a fuzzy processor.