Artificial neural network approach to predict the lightfastness of gravure prints on the plastic film-Reference-Cited by-同舟云学术

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Artificial neural network approach to predict the lightfastness of gravure prints on the plastic film

Published:2020-04-09 Issue:4 Volume:45 Page:686-698
ISSN:0361-2317
Container-title:Color Research & Application
language:en
Short-container-title:Color Res Appl

Author:

Mandal Mahasweta¹^ORCID,Bandyopadhyay Swati¹

Affiliation:

1. Printing Engineering Department Jadavpur University Kolkata India

Funder

Indo-French Centre for the Promotion of Advanced Research

Publisher

Wiley

Subject

General Chemical Engineering,General Chemistry,Human Factors and Ergonomics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/col.22504

Reference48 articles.

1. Study of the lightfastness properties of prints on blister foils by spectral reflectance

2. Influence of artificial aging on cellulose film;Izdebska J;Agro Food Industry Hitech,2013

3. Weather resistance of inkjet prints on plastic substrates;Borbély Á;J Graph Eng Des,2015

4. Lightfastness and weatherfastness of overprint pattern obtained on polymer substrate;Bates I;Technical Gazette,2011

5. The influence of heat treatment on print mottle of screen printed textile knitted fabrics;Kasikovik N;Appl Therm Eng,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Study of color degradation in package prints: Analyzing kinetics with principal component analysis;Color Research & Application;2024-03-18

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