Development of shade prediction system to quantify the shade change after crease recovery finish application using artificial neural networks
Author:
Affiliation:
1. Department of Fibre and Textile Technology, University of Agriculture, Faisalabad, Pakistan
2. Kays & Emms Pvt. Ltd, Faisalabad, Pakistan
Funder
the Higher Education Commission of Pakistan
Technology Development Fund Project TDF-097 and Kays & Emms Pvt. Ltd.
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/00405000.2020.1812921
Reference38 articles.
1. Artificial neural networks for automated quality control of textile seams
2. Prediction of the changes on the CIELab values of fabric after chemical finishing using artificial neural network and linear regression models
3. Biologically inspired learning in a layered neural net
4. A Neural Network System for Prediction of Thermal Resistance of Textile Fabrics
5. Effect of the particle size of fluorocarbon‐based finishing agents on fastness and color properties of 100% cotton knitted fabrics
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