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

O. Hung, L. Song, C. Chan, C. Kan, C. Yuen, Y. H. Zhang
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引用次数: 1

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.
基于新Elman神经网络的激光处理针织物色彩性能预测
本文提出了一种新的最优Elman神经网络模型,用于预测针织物在激光雕刻工艺影响下的色收率(以K/S值表示)和CIE Lab值。本文介绍了具有比例(P)、积分(I)和导数(D)性质的新型修正Elman网络。实验结果表明,本文提出的预测模型对激光雕刻针织物颜色性能的影响更为可行和适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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