• DocumentCode
    507990
  • Title

    The Modeling Ability and Its Effectivity for Multi-layer ADALINE NN

  • Author

    Su, Yingying ; Li, Taifu ; Wang, Debiao ; Liu, Yucheng ; Qi, Danping

  • Author_Institution
    Coll. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    449
  • Lastpage
    453
  • Abstract
    Aimed at the phenomenon that there is few theories and applications about multi-layer ADALINE neural network (NN), in this paper, mathematic expressions of the multi-input/ single-output (MISO) and multi-input/ multi-output (MIMO) ADALINE NN with multi-layer had been deduced according to the theory of linear neuron transfer function. At result, expressions are also linear functions respect with input variables with more complex weights and thresholds. In order to verify the equivalence of multi-layer ADALINE NNand single-layer ADALINE NN, two examples had been simulated with MATLAB software for function approximation, respectively. The simulation results showed that the multi-layer ADALINE NN can approximate linear functions but not as well as the single-layer ADALINE NN does. In conclusion, the existence of multi-layer adaline NN is not necessary, and its function can be simply realized with the single-layer ADALINE NN completely.
  • Keywords
    function approximation; neural nets; transfer functions; approximate linear function; function approximation; linear functions; linear neuron transfer function; modeling ability; multiinput multioutput ADALINE NN; multiinput single-output ADALINE NN; multilayer ADALINE NN; multilayer ADALINE neural network; Function approximation; Input variables; MATLAB; MIMO; Mathematical model; Mathematics; Multi-layer neural network; Neural networks; Neurons; Transfer functions; ADALINE neural network; Equivalence; Multi-layer; Single-layer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.700
  • Filename
    5364496