A Compensatory Fuzzy Neural Network Modeling Method Based on Particle Swarm Clustering

@inproceedings{Man2011ACF,
  title={A Compensatory Fuzzy Neural Network Modeling Method Based on Particle Swarm Clustering},
  author={Chun Tao Man and Tian Feng Wang and Xiao Bo Sun and Xin Xin Yang and Jiao Cui},
  year={2011}
}
According to modeling problem for complex systems, a compensatory fuzzy neural network (CFNN) modeling method based on particle swarm clustering is proposed: the particle swarm clustering is used to automatically separate the space of input-output data, obtain the numbers of inference rules of fuzzy model and find fuzzy rules. Based on the rules, we modified fuzzy reasoning process and established initial structure of compensatory fuzzy neural network. Then using adaptive rate algorithm… CONTINUE READING

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