Prediction of laser-treated knitted fabric colour properties based on a new elman neural network

O. N. Hung, L. J. Song, C. K. Chan, Chi Wai Kan, C. W.M. Yuen, Y. H. Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The present paper proposes an new optimal Elman neural network modelling to predict the knitted fabric colour properties including the colour yield (in term of K/S value) and CIE Lab values of knitted fabrics under the effect of laser engraving process. The new modified Elman network which have a proportional (P), integral (I), and derivative (D) properties is introduced in this paper. The experiment results illustrate that the proposed prediction model in this study is more feasible and applicable for the knitted fabrics color properties induced by laser engraving.
Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011
Pages182-186
Number of pages5
DOIs
Publication statusPublished - 2 Sep 2011
Event2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011 - Hong Kong, Hong Kong
Duration: 18 Jun 201119 Jun 2011

Conference

Conference2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011
Country/TerritoryHong Kong
CityHong Kong
Period18/06/1119/06/11

Keywords

  • CLE Lab value
  • Colour properties
  • Elman neural network
  • K/S value
  • Knitted fabric
  • Laser engraving
  • Prediction

ASJC Scopus subject areas

  • Computer Science Applications

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