• DocumentCode
    523549
  • Title

    Approach of Knowledge Acquisition Based on Artificial Neural Network in Product Design Process

  • Author

    Yuan, Changfeng ; Wang, Wanlei ; Chen, Yan ; Li, Jianfeng

  • Author_Institution
    Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    800
  • Lastpage
    803
  • Abstract
    Establishing the relation between design process and product structure is an effective approach to realize knowledge acquisition in product design. In the paper, the method of artificial neural network (ANN) is applied by taking product structure as the point of knowledge acquisition, and ANN models are designed according to the design demands of different design stages, so that the relation between different design stages and the corresponding product structures could be established. Finally, the general design process of a roll plate machine is taken as the example and its BP network model is designed. The effectiveness of proposed approach is validated by training this network and forecasting the new design task.
  • Keywords
    backpropagation; design engineering; knowledge acquisition; neural nets; product design; BP network model; artificial neural network; backpropagation; knowledge acquisition; product design process; product structure; roll plate machine; Artificial neural networks; Computer network management; Conference management; Data mining; Educational institutions; Electronic mail; Knowledge acquisition; Process design; Product design; Transportation; artificial neural network; knowledge acquisition; product design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.548
  • Filename
    5522586