Spectral Preprocessing and Machine Learning Modeling for Discriminating Manufacturing Origins of Mulberry Bast Fiber
Author:
Affiliation:
1. Department of Forest Products and Biotechnology, Kookmin University
2. RnD Team, HP Printing Korea
Publisher
Korea Technical Association of the Pulp and Paper Industry
Subject
Media Technology,General Materials Science,General Chemistry
Link
https://www.ktappi.kr/articles/pdf/doi/10.7584/JKTAPPI.2023.10.55.5.61.pdf
Reference23 articles.
1. Manufacture of Conservational Machine-made Hanji based on Domestic Paper Mulberry Fibers
2. Classification of papers using IR and NIR spectra and principal component analysis
3. Introduction to Linear Regression Analysis
4. An overview of variable selection methods in multivariate analysis of near-infrared spectra
5. Classification option for Korean traditional paper based on type of raw materials, using near-infrared spectroscopy and multivariate statistical methods
Cited by 2 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. Unsupervised Dimensionality Reduction Modeling for Analyzing Aging Characteristics of Hanji;Journal of Korea Technical Association of The Pulp and Paper Industry;2023-12-30
2. Identification of Mulberry Bast Fiber Using a Multivariate Analysis Technique;Journal of Korea Technical Association of The Pulp and Paper Industry;2023-12-30
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