• DocumentCode
    2895218
  • Title

    The Study of Real-Time Detecting Algorithm on Eddy Current Nondestructive Testing

  • Author

    Liu, Dong-Hui ; Chen, Ai-zu ; Yang, Guo-fu

  • Author_Institution
    Hebei Univ. of Sci. & Technol., Shijiazhuang
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    2940
  • Lastpage
    2943
  • Abstract
    Immune radial basis function (IRBF) network is applied to real-time online detecting system. After completing the eddy current nondestructive quantitative detecting (ECNDT) using classical RBF method, authors put forward using immune algorithm to optimize the network structure, and using recursive least squares(RLS) algorithm to estimate weight vector. The comparison shows that the network structure is simplified strongly, computation is reduced greatly. This method can be applied online
  • Keywords
    eddy current testing; learning (artificial intelligence); least squares approximations; radial basis function networks; IRBF network; eddy current nondestructive testing; immune radial basis function; real-time detecting algorithm; recursive least squares; Computer networks; Cybernetics; Eddy currents; Electronic mail; Immune system; Machine learning; Nondestructive testing; Optimization methods; Pathogens; Radial basis function networks; Real time systems; Signal processing algorithms; ECNDT; IRBF network; RLS; immune algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.259142
  • Filename
    4028565
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2895218