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Journal articles
Magazine articles
Coming Out of the Coronavirus Pandemic, Tissue360º Spring/Summer2021

Coming Out of the Coronavirus Pandemic, Tissue360º Spring/Summer2021Coming Out of the Coronavirus Pandemic, Tissue360º Spring/Summer2021

Journal articles
Magazine articles
Converting Line Tissue Waste Management Needs a Kaizen Event, Tissue360º Spring/Summer 2021

Converting Line Tissue Waste Management Needs a Kaizen Event, Tissue360º Spring/Summer 2021

Journal articles
Magazine articles
Tissue Industry News, Tissue360º Fall/Winter 2022

Tissue Industry News, Tissue360º Fall/Winter 2022

Journal articles
Magazine articles
iT’s Tissue 2022—The Review, Tissue360º Fall/Winter 2022

iT’s Tissue 2022—The Review, Tissue360º Fall/Winter 2022

Journal articles
Magazine articles
Testing Technology for Papermaking 4.0, Tissue360º Fall/Winter 2022

Testing Technology for Papermaking 4.0, Tissue360º Fall/Wint

Journal articles
Magazine articles
Open Access
Research on improving the basis weight measurement accuracy of tissue paper based on PSO-BP neural network, TAPPI Journal October 2022

ABSTRACT: The near-infrared (NIR) sensor can be used for measuring the basis weight and moisture of tissue paper, but the measurement accuracy is not ideal for this paper grade. The weight range of the tissue is 10~30 g/m2, indicating that it is a low gram weight paper. The temperature and humidity of the production environment significantly impact an NIR sensor. This paper focuses on improving the measurement accuracy of tissue paper basis weight. In order to reduce the influences of temperature and humidity, a mathematical model based on a particle swarm optimization back propagation (PSO-BP) neural network is proposed. In comparison with multiple linear regression measurement models, the basis weight measurement error with the PSO-BP model is within ± 0.5 g/m2. This model can effectively improve the measurement accuracy and has a good effect on overcoming the basis weight nonlinear effect caused by the changes in ambient temperature and humidity.