Prediction of Laser-Treated Knitted Fabric Colour Properties Based on a New Elman Neural Network

Author

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

Author_Institution

Inst. of Textiles & Clothing, Hong Kong Polytech. Univ., Kowloon, China

fYear

2011

fDate

18-19 June 2011

Firstpage

182

Lastpage

186

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.

Keywords

dyeing; fabrics; neural nets; production engineering computing; textile technology; CIE Lab value; K/S value; colour yield; laser engraving process; laser-treated knitted fabric colour property; optimal Elman neural network; proportional-integral-derivative property; Artificial neural networks; Context; Fabrics; Image color analysis; Laser beam cutting; Predictive models; CLE Lab value; Elman neural network; K/S value; colour properties; knitted fabric; laser engraving; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computer Sciences and Application (ICFCSA), 2011 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4577-0317-1

Type

conf

DOI

10.1109/ICFCSA.2011.48

Filename

5968054