A Face Graph Method Using a Fuzzy Neural Network for Expressing System Conditions

Abstract

The face graph method with such varying elements as eyes, eyebrows, mouth, etc. is used for expressing multidimensional data. Since human beings are very sensitive to human faces, one can easily evaluate the multidimensional data expressed by the face graph.
This paper presents a new approach of the face graph method using a fuzzy neural network (FNN) for expressing conditions of complex systems. The FNN makes it easy to understand the relationships between the parameters of the facial elements and the facial impressions. Experiments are carried out to make the face graphs correspond to the conditions of an electrical circuit.