Self evolving Takagi-Sugeno-Kang fuzzy neural network

@inproceedings{Nam2012SelfET,
  title={Self evolving Takagi-Sugeno-Kang fuzzy neural network},
  author={Nguyen Ngoc Nam},
  year={2012}
}
........................................................................................................................................ I Acknowledgements ....................................................................................................................III Table of 

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References

Publications referenced by this paper.
SHOWING 1-10 OF 141 REFERENCES

Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models

  • The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.
  • 2005
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

An approach to online identification of Takagi-Sugeno fuzzy models

  • IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
  • 2004
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

GenSoFNN: a generic self-organizing fuzzy neural network

  • IEEE Trans. Neural Networks
  • 2002
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL