Fuzzy nonlinear regression with fuzzified radial basis function network

@article{Zhang2005FuzzyNR,
  title={Fuzzy nonlinear regression with fuzzified radial basis function network},
  author={Dong Zhang and Luo-Feng Deng and Kai-Yuan Cai and A. So},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2005},
  volume={13},
  pages={742-760}
}
A fuzzified radial basis function network (FRBFN) is a kind of fuzzy neural network that is obtained by direct fuzzification of the well known neural model RBFN. A FRBFN contains fuzzy weights and can handle fuzzy-in fuzzy-out data. This paper shows that a FRBFN can also be interpreted as a kind of fuzzy expert system. Hence it owns the advantages of simple structure and clear physical meaning. Some metrics for fuzzy numbers have been extended to the metrics for n-dimensional fuzzy vectors… CONTINUE READING
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