Hierarchical Fuzzy Neural Networks for Nonlinear System Identification

@inproceedings{HierarchicalFN,
  title={Hierarchical Fuzzy Neural Networks for Nonlinear System Identification},
  author={}
}
    Introduction Both neural networks and fuzzy logic are universal estimators, they can approximate any nonlinear function to any prescribed accuracy, provided that sufficient hidden neurons and fuzzy rules are available. Resent results show that the fusion procedure of these two different technologies seems to be very effective for nonlinear systems… CONTINUE READING