• DocumentCode
    2532344
  • Title

    Predicting the End Breakage Rates of Ring Spinning Polyester Cotton Yarn

  • Author

    Bo, Zhao

  • Author_Institution
    Coll. of Textiles, Zhongyuan Univ. of Technol., Zhengzhou, China
  • fYear
    2011
  • fDate
    19-22 Oct. 2011
  • Firstpage
    291
  • Lastpage
    294
  • Abstract
    In this research, three layers of BP neural network model were used to model the end breakage rate of ring spun polyester/cotton yarn. Of the sixteen group samples, twelve were chosen as the training set at random, while the rest were the testing set. The experimental results and the corresponding analysis show that the BP neural network model is an efficient theory for the quality prediction and has wide prospect in the application of ring spun polyester/cotton yarn production system. This method improves obviously the efficiency and quality of production.
  • Keywords
    backpropagation; neural nets; production engineering computing; quality control; spinning (textiles); yarn; BP neural network model; backpropagation; end breakage rates prediction; production quality prediction; ring spinning polyester cotton yarn; yarn production system; Artificial neural networks; Biological neural networks; Cotton; Mathematical model; Neurons; Spinning; Yarn; Cring spun; artificial neural network.; cotton; end breakage rate; polyester; yarn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chaos-Fractals Theories and Applications (IWCFTA), 2011 Fourth International Workshop on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-1798-7
  • Type

    conf

  • DOI
    10.1109/IWCFTA.2011.93
  • Filename
    6093539