Bifurcating fuzzy sets: Theory and application
Neurocomputing
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For its sensitive dependence with the initial value, chaos can be used to the pattern recognition of the ones with extremely small difference. An algorithm based on chaotic fuzzy RBF neural network (CFRBF) is proposed and used for face recognition. For introducing chaotic noise, the network obtains a better anti-jamming. It can avoid being affected by the factors such as illumination and gesture. And many complex feature extractions can be averted. Simulation results show that the proposed algorithm achieves excellent performance with high training and recognition speed, high recognition rate as well as very good illumination robustness.