• DocumentCode
    465905
  • Title

    Application of Neural Network to Identification of Young Females´ Body Type

  • Author

    Zou, Feng-yuan ; Ding, Xiao-jun ; Zhang, Shu-jun ; Wang, Li-jun ; Zhang, Yong-hong

  • Author_Institution
    Zhejiang Sci-Tech Univ., Hangzhou
  • Volume
    3
  • fYear
    2006
  • fDate
    8-11 Oct. 2006
  • Firstpage
    2257
  • Lastpage
    2261
  • Abstract
    MTM (made to measure) is a new manufacturing trend in which mass-market products (e.g. apparel) are quickly modified one at a time based on customers´ needs. It is an effective competing strategy to maximize customers´ satisfaction and minimizing inventory costs. To satisfy the need for body type analysis in MTM, an artificial neural network BP algorithm is used to simulate the experience and technology of fashion designers and then a model is established to identify body type. The model, which realizes auto-mapping from body data to specific estimation, has high precision. The result indicates that the model satisfies the need for body analysis in MTM.
  • Keywords
    backpropagation; clothing industry; customer satisfaction; neural nets; production engineering computing; MTM; artificial neural network BP algorithm; customer satisfaction; garment industry; inventory costs; made to measure; young females body type identification; Algorithm design and analysis; Art; Artificial neural networks; Clothing industry; Costs; Cybernetics; Humans; Manufacturing; Neural networks; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    1-4244-0099-6
  • Electronic_ISBN
    1-4244-0100-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2006.385197
  • Filename
    4274203