• DocumentCode
    532143
  • Title

    A model for forest resources management based on artificial neural network

  • Author

    Cai, Shuo ; Kang, Xin-gang ; Gong, Zhi-Wen ; Chen, Ping-Teng ; Qin, Lei

  • Author_Institution
    Dept. of Forestry, Beijing Forestry Univ., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Introduced the method of artificial neural networks, established a three-tier management of forest resources feed-forward back-propagation neural network model. Simulation results show that artificial neural network model can be applied to dynamic simulation of forest resources. And high precision, linear regression equation is a strong correlation. The results clearly demonstrate the superiority of the ANN models to the regression models due to their ability to overcome the problems in forest data. The ANN technique introduced in this study is sufficiently general and has great potential to be applicable to many forest resources management modeling applications providing a very useful tool as an alternative to traditional analysis models.
  • Keywords
    backpropagation; feedforward neural nets; forestry; regression analysis; ANN model; artificial neural network; dynamic simulation; feedforward backpropagation neural network; forest resources management; linear regression equation; regression model; three-tier management; Analytical models; Computer languages; Equations; Fitting; Mathematical model; BP; artificial neural networks; forest resources management; regression analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620045
  • Filename
    5620045