Fuzzy art neural network model and its application
Ming Gu · 2009
The model based on fuzzy ART neural network is designed and realized. It can deal with online learning and recognition of the known and unknown faces at the same time. The simulation experiment results show an online maximum recognition rate is 91.25% when the proper network parameters are selected. 400 images of 40 persons in the AT&T Yale face database are used for simulation experiment.