• DocumentCode
    3567141
  • Title

    NNKBN model for the microstrip T-junction structure

  • Author

    Jingsong Hong ; Bing-zhong Wang

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    2
  • fYear
    2003
  • Firstpage
    92
  • Abstract
    A novel three-layer neural network with knowledge-based neurons in the hidden layer (NNKBN) has been applied to model the microstrip T-junction structure. The NNKBN model is electromagnetically developed with a set of data that are produced by the MoM method. Numerical experiments show that the NNKBN model has many advantages over the conventional multi-layer perceptron model.
  • Keywords
    circuit simulation; knowledge based systems; method of moments; microstrip circuits; neural nets; MoM; NNKBN model; hidden layer knowledge-based neurons; microstrip T-junction structure; three-layer neural network; Circuits; Finite difference methods; Frequency; Message-oriented middleware; Microstrip; Neural networks; Neurons; Stripline; Time domain analysis; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2003. IEEE
  • Print_ISBN
    0-7803-7846-6
  • Type

    conf

  • DOI
    10.1109/APS.2003.1219187
  • Filename
    1219187