• DocumentCode
    2100371
  • Title

    An Engineering Solution to Taylor Series Expansion Coefficients Based on BP Neural Network

  • Author

    Hu, Zhongzhong ; Wu, Helei ; Zhu, Shuyun

  • Author_Institution
    Sch. of Inf. Eng., Nanchang Univ., Nanchang, China
  • fYear
    2011
  • fDate
    17-18 Sept. 2011
  • Firstpage
    491
  • Lastpage
    494
  • Abstract
    One method of obtaining the Taylor Series Expansion Coefficients, which are suitable for engineering application, are presented: Artificial neural network(ANN) , by virtue of its high nonlinear and learning abilities. The Taylor Series (TS) can be represented as a standard 3-layers feed-forward neural network after transforming in which the weights are correspond to the Taylor Coefficients. Therefore, the Taylor Coefficients can be determined by using Back Propagation (BP) algorithm. In the methods, we only need the sample space of the original function. So the method have the value of application in industries.
  • Keywords
    backpropagation; engineering computing; feedforward neural nets; learning (artificial intelligence); series (mathematics); BP neural network; Taylor series expansion coefficient; artificial neural network; backpropagation algorithm; engineering application; learning ability; standard 3-layers feedforward neural network; Biological neural networks; Educational institutions; Function approximation; Mathematical model; Taylor series; Training; BP Neural Network; Back Prooagation (BP) algorithm; Talor coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing & Information Services (ICICIS), 2011 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-1561-7
  • Type

    conf

  • DOI
    10.1109/ICICIS.2011.128
  • Filename
    6063306