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首页> 外文期刊>Neural processing letters >An Artificial Neural Network Model for Prediction of Colour Properties of Knitted Fabrics Induced by Laser Engraving
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An Artificial Neural Network Model for Prediction of Colour Properties of Knitted Fabrics Induced by Laser Engraving

机译:人工神经网络模型预测激光雕刻引起的针织物的颜色性能

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摘要

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.
机译:在本文中,我们提出了一种人工神经网络(ANN)模型,用于预测颜色特性,包括颜色产量(以K / S值表示)和CIE L,1005棉针织物在激光作用下的a和b值雕刻工艺具有不同的工艺参数。在ANN模型中要检查的织物因素包括纤维成分,织物密度,织物质量,织物厚度,纱线的线密度,纱线捻度,纱线捻度和卷曲的方向。在获得ANN模型后,将其性能与线性回归模型进行比较。值得注意的是,ANN模型在预测激光雕刻的100%棉针织物的颜色特性方面产生了优异的结果。还研究了影响色彩特性的检查因素的相对重要性。

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