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Data-based system modeling using a type-2 fuzzy neural network with a hybrid learning algorithm

Chi-Yuan Yeh1, Wen-Hau Roger Jeng, Shie-Jue Lee

  • 1Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan. yuan@water.ee.nsysu.edu.tw

IEEE Transactions on Neural Networks
|October 20, 2011
PubMed
Summary

This study introduces a new method for creating type-2 neural-fuzzy systems using clustering and a hybrid learning algorithm. The approach effectively builds fuzzy rule bases and refines parameters for accurate system outputs.

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