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Fuzzy Wavelet Neural Networks: Theory and Applications

  • L. C. Jiao
  • F. Liu
  • L. Wang
  • Y. N. Zhang
Chapter
Part of the The International Series on Asian Studies in Computer and Information Science book series (ASIS, volume 6)

Abstract

The fuzzy wavelet neural networks (FWNN) are proposed in this paper. The structure and two learning algorithms of the FWNN for R-F function are given. Under the framework of such structure and two learning algorithms, wavelet-based fuzzy neural networks for interval estimation of processed data and for interpolation of fuzzy if-then rules are proposed too. The simulation results are given to prove their feasibility.

Keywords

Fuzzy wavelet neural network (FWNN) LP conjugate gradient method fuzzy reasoning WBFRNN. 

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References

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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • L. C. Jiao
    • 1
  • F. Liu
    • 1
  • L. Wang
    • 1
  • Y. N. Zhang
    • 1
  1. 1.State Key Lab of RSP and Center for Neural NetworksXidian UniversityXi’anChina

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