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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2016

01.12.2016

An Artificial Neural Network Model for Prediction of Colour Properties of Knitted Fabrics Induced by Laser Engraving

verfasst von: C. W. Kan, L. J. Song

Erschienen in: Neural Processing Letters | Ausgabe 3/2016

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Abstract

In this paper, we propose an artificial neural network (ANN) model for prediction of color properties, including color yield (in terms of K/S value) and CIE L, a and b values of 1005 cotton knitted fabrics under the effect of laser engraving process with different process parameters. Fabric factors to be examined in the ANN model included fiber composition, fabric density, mass of fabric, fabric thickness, linear density of yarn, yarn twist, direction of yarn twist and crimp. After obtaining the ANN model, its performance was compared with linear regression model. It is noted that the ANN model produced superior results in prediction of color properties of laser engraved 100 % cotton knitted fabrics. The relative importance of the examined factors influencing color properties was also investigated.
Vorheriger Artikel Learning Feedback Linearization Using Artificial Neural Networks
Nächster Artikel Exponential stability of a class of competitive neural networks with multi-proportional delays

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Metadaten
Titel
An Artificial Neural Network Model for Prediction of Colour Properties of Knitted Fabrics Induced by Laser Engraving
verfasst von
C. W. Kan
L. J. Song
Publikationsdatum
01.12.2016
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2016
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-015-9485-7

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