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Modeling and Prediction of Yarn Density Profiles Using Neural Networks

  • Textile Coloration and Finishing
  • Abbr : Text. Color. and Finish.
  • 2007, 19(6), pp.7-11
  • Publisher : The Korean Society Of Dyers And Finishers
  • Research Area : Engineering > Fiber Engineering > Dyeing Engineering

Jooyong Kim 1

1숭실대학교

Accredited

ABSTRACT

A prediction model for yarn density profile was developed using the neural network methodology. The neural network model developed traces mass densities of a yarn within a section and predicts the mass profiles of the next yarn segment yet to be measured. The model does not require an assumption on the existence of a relationship between the past and future data sets. Four high-draft yarns made under different processing conditions were employed in order to test the performance of the model developed. It was shown that the model could predict the yarn density profiles without a significant error.

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