Title :
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
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;
Conference_Titel :
Future Computer Sciences and Application (ICFCSA), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-0317-1
DOI :
10.1109/ICFCSA.2011.48
