Predicting the Effect of Plasma Treatment on the Fading of Sulphur-Dyed Cotton Fabric Using Bayesian Regulated Neural Network (BRNN) and Gaussian Process Regression (GPR)
Vol. 25, No. 1, pp. 221-233, Jan. 2024
10.1007/s12221-023-00426-y
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Bayesian regulated neural network Gaussian Process Regression Tenfold cross-validation Plasma treatment ·
Sulphur dyes Fading effect prediction Colour difference
Abstract
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Cite this article
[IEEE Style]
C. Kan, S. Liu, Y. K. Liu, K. C. Lo, C. Kan, "Predicting the Effect of Plasma Treatment on the Fading of Sulphur-Dyed Cotton Fabric Using Bayesian Regulated Neural Network (BRNN) and Gaussian Process Regression (GPR)," Fibers and Polymers, vol. 25, no. 1, pp. 221-233, 2024. DOI: 10.1007/s12221-023-00426-y.
[ACM Style]
Chi-wai Kan, Senbiao Liu, Yaohui Keane Liu, Kwan-yu Chris Lo, and Chi-wai Kan. 2024. Predicting the Effect of Plasma Treatment on the Fading of Sulphur-Dyed Cotton Fabric Using Bayesian Regulated Neural Network (BRNN) and Gaussian Process Regression (GPR). Fibers and Polymers, 25, 1, (2024), 221-233. DOI: 10.1007/s12221-023-00426-y.