Using Bayesian regulated neural network (BRNN) to predict the effect of plasma treatment on the fading effect of cotton fabric-Reference-Cited by-同舟云学术

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Using Bayesian regulated neural network (BRNN) to predict the effect of plasma treatment on the fading effect of cotton fabric

Published:2023-06-09 Issue: Volume: Page:1-11
ISSN:0040-5000
Container-title:The Journal of The Textile Institute
language:en
Short-container-title:The Journal of The Textile Institute

Author:

Liu Senbiao¹,Liu Yaohui Keane²,Kan Chi-wai¹

Affiliation:

1. School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

2. Department of Construction Technology and Engineering, Technological and Higher Education Institute of Hong Kong, Tsing Yi Island, New Territories, Hong Kong

Funder

Hong Kong Polytechnic University

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/10.1080/00405000.2023.2220218

Reference38 articles.

1. Modeling plasma surface modification of textile fabrics using artificial neural networks

2. Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

3. The Use of Ozone Technology for Color Stripping and Obtaining Vintage Effect on Reactive Dyed Cotton Fabrics

4. Colour Fading of Textile Fabric by Plasma Treatment

5. Modular implementation of artificial neural network in predicting in-flight particle characteristics of an atmospheric plasma spray process

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