• DocumentCode
    509456
  • Title

    Artificial Neural Network for the Design of Metal Rubber

  • Author

    Meng, Zhang ; Xiao-rui, Zhang ; Zhen-san, Zhang

  • Author_Institution
    Dept. of Weapon Eng., Naval Univ. of Eng., Wuhan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    649
  • Lastpage
    652
  • Abstract
    Metal rubber is a new type of structure function material made of tensioned metal wires. Although it has excellent performance, it is not widely used for its complex characteristics. Previous attempts are mostly based on mathematical model. In this paper, artificial neural network (ANN) is introduced as an alternative to mathematical model. The result from ANN showed a good agreement with the experiment data. Now ANNs have been successfully used in our process of design and are helpful to reduce the cost.
  • Keywords
    neural nets; production engineering computing; rubber; wires; artificial neural network; mathematical model; metal rubber; structure function material; tensioned metal wires; Artificial neural networks; Costs; Design engineering; Inorganic materials; Mathematical model; Nonlinear equations; Process design; Rubber; Weapons; Wires; Artificial Neural Network; Design; Metal Rubber;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.517
  • Filename
    5370422