A face graph method using a fuzzy neural network for expressing conditions of complex systems

The face graph method with such varying elements as dyes, 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. The authors present a novel approach of the face graph method using a fuzzy neural network for expressing conditions of complex systems. Experiments are carried out to make the face graphs correspond to the conditions of an electric circuit.<>