Complex neuro-fuzzy intelligent approach to function approximation

@article{Li2010ComplexNI,
  title={Complex neuro-fuzzy intelligent approach to function approximation},
  author={Chunshien Li and Tai-Wei Chiang and Jhao-Wun Hu and Tsunghan Wu},
  journal={Third International Workshop on Advanced Computational Intelligence},
  year={2010},
  pages={151-156}
}
A complex neuro-fuzzy self-learning approach using complex fuzzy sets to the problem of function approximation is proposed in this paper. The concept of complex fuzzy sets (CFSs) is an extension of traditional fuzzy set whose membership degrees are within a unit disk in the complex plane. The Particle Swarm Optimization (PSO) algorithm and the recursive least square estimator (RLSE) algorithm are used in hybrid way to train the proposed complex neuro-fuzzy system (CNFS). The PSO is used to… CONTINUE READING
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Particle swarm optimization

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