• DocumentCode
    1563467
  • Title

    The Structure and Function of Neurons with Variable Nonlinear Transfer Function

  • Author

    Wang, Shoujue ; Liu, Yangyang

  • Author_Institution
    Inst. of Semicond., Chinese Acad. of Sci., Beijing
  • Volume
    1
  • fYear
    2005
  • Firstpage
    298
  • Lastpage
    300
  • Abstract
    One novel neuron with variable nonlinear transfer function is firstly proposed, It could also be called as subsection transfer function neuron. With different transfer function components, by virtue of multi-thresholded, the variable transfer function neuron switch on among different nonlinear excited state. And the comparison of output´s transfer characteristics between it and single-thresholded neuron is illustrated, with some practical application experiments on bi-level logic operation, at last the simple comparison with conventional BP, RBF, and even DBF NN is taken to expect the development foreground on the variable neuron. The novel nonlinear transfer function neuron could implement the random nonlinear mapping relationship between input layer and output layer, which could make variable transfer function neuron have one much wider applications on lots of research realm such as function approximation, pattern recognition, data compress and so on
  • Keywords
    neural nets; transfer functions; bi-level logic operation; nonlinear mapping relationship; subsection transfer function; variable neurons; variable nonlinear transfer function; Artificial neural networks; Fuzzy logic; Laboratories; Mathematical model; Multivalued logic; Neural networks; Neurons; Pattern recognition; Switches; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614619
  • Filename
    1614619