• DocumentCode
    1583014
  • Title

    An Approach of Structural Design for Multi-resolution Wavelet Network Based on TBIC Rule

  • Author

    Yang, Huizhong ; Zhong, Hao

  • Author_Institution
    Southern YangtzUniversity, Wuxi
  • Volume
    1
  • fYear
    2007
  • Firstpage
    79
  • Lastpage
    83
  • Abstract
    Based on testing Bayesian information criterion (TBIC), an approach was presented to solve the indeterminacy of structure existing in multi-resolution wavelet network. A method considering both scale and precision of the networks was proposed, which can also result in an optimal network structure under the TBIC rule. Simulation results illustrate that the multi-resolution wavelet network has reasonable scale and good testing performance when the method was applied. Compared with Bayesian information criterion (BIC), the TBIC rule can reflect accurately the trend of precision along with the structure.
  • Keywords
    Bayes methods; neural nets; wavelet transforms; multiresolution wavelet network; testing Bayesian information criterion; Artificial neural networks; Bayesian methods; Convergence; Design engineering; Electronic mail; Function approximation; Multiresolution analysis; System testing; Systems engineering and theory; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.181
  • Filename
    4344158