Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

@article{Leng2006DesignFS,
  title={Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms},
  author={Gang Leng and T. Martin McGinnity and Girijesh Prasad},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2006},
  volume={14},
  pages={755-766}
}
A novel hybrid learning algorithm based on a genetic algorithm to design a growing fuzzy neural network, named self-organizing fuzzy neural network based on genetic algorithms (SOFNNGA), to implement Takagi-Sugeno (TS) type fuzzy models is proposed in this paper. A new adding method based on geometric growing criterion and the epsiv-completeness of fuzzy rules is first used to generate the initial structure. Then a hybrid algorithm based on genetic algorithms, backpropagation, and recursive… CONTINUE READING

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