CMAC-based neuro-fuzzy approach for complex system modeling

@article{Cheng2009CMACbasedNA,
  title={CMAC-based neuro-fuzzy approach for complex system modeling},
  author={Kuo-Hsiang Cheng},
  journal={Neurocomputing},
  year={2009},
  volume={72},
  pages={1763-1774}
}
A cerebellar model arithmetic computer (CMAC)-based neuron-fuzzy approach for accurate system modeling is proposed. The system design comprises the structure determination and the hybrid parameter learning. In the structure determination, the CMAC-based system constitution is used for structure initialization. With the advantage of generalization of CMAC, the initial receptive field algorithm (RO) is combined with the least square estimation (LSE) to train the parameters, where the premises and… CONTINUE READING
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