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

doi:10.1109/ICFCSA.2011.48

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings - 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011
Pages	182-186
Number of pages	5
DOIs	https://doi.org/10.1109/ICFCSA.2011.48
Publication status	Published - 2 Sept 2011
Event	2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011 - Hong Kong, Hong Kong Duration: 18 Jun 2011 → 19 Jun 2011

Conference

Conference	2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011
Country/Territory	Hong Kong
City	Hong Kong
Period	18/06/11 → 19/06/11

Keywords

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

ASJC Scopus subject areas

Computer Science Applications

More information

10.1109/ICFCSA.2011.48

Cite this

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

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

author = "Hung, {O. N.} and Song, {L. J.} and Chan, {C. K.} and Kan, {Chi Wai} and Yuen, {C. W.M.} and Zhang, {Y. H.}",

year = "2011",

month = sep,

day = "2",

doi = "10.1109/ICFCSA.2011.48",

language = "English",

isbn = "9780769544229",

pages = "182--186",

booktitle = "Proceedings - 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011",

note = "2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011 ; Conference date: 18-06-2011 Through 19-06-2011",

}

Hung, ON, Song, LJ, Chan, CK, Kan, CW, Yuen, CWM & Zhang, YH 2011, Prediction of laser-treated knitted fabric colour properties based on a new elman neural network. in Proceedings - 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011., 5968054, pp. 182-186, 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011, Hong Kong, Hong Kong, 18/06/11. https://doi.org/10.1109/ICFCSA.2011.48

Prediction of laser-treated knitted fabric colour properties based on a new elman neural network. / Hung, O. N.; Song, L. J.; Chan, C. K. et al.
Proceedings - 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011. 2011. p. 182-186 5968054.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Chan, C. K.

AU - Kan, Chi Wai

AU - Yuen, C. W.M.

AU - Zhang, Y. H.

PY - 2011/9/2

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AB - 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.

KW - CLE Lab value

KW - Colour properties

KW - Elman neural network

KW - K/S value

KW - Knitted fabric

KW - Laser engraving

KW - Prediction

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BT - Proceedings - 2011 International Conference on Future Computer Sciences and Application, ICFCSA 2011

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

Abstract

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Keywords

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