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Distributed chaotic fuzzy RBF neural networks is described in the paper against the problems of slow convergence and easy trapping into local minimum of BP neural networks. For introducing chaotic noise to choose the initial value of the network, it can avoid the local minimum, while the fuzzy character improves the capability of generalization. The simulation results show that the suggested approach...
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....
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