Spectroscopy and Spectral Analysis, Volume. 41, Issue 9, 2759(2021)
In-Line Identification of Different Grades of GPPS Based on Near-Infrared Spectroscopy
References(9)
[3] A Gahkani, O Ghita, R Mclauchlin A. Polymer Testing, 38, 46(2014).
[5] S Federici, C Marchesi, M Rani et al. Materials, 12, 2740(2019).
[6] M Kaihara, M Satoh. Analytical Sciences, 23, 921(2007).
[9] Jia LI, Xiao-yu WU, Lin-ping YAO et al. Journal of Cleaner Production, 246, 118732(2020).
[10] F Camastra, A Verri. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 801(2005).
[12] Z Zacharis N. International Journal of Intelligent Systems and Applications, 10, 1(2018).
[13] S Janizadeh, V Phong T, P Yariyan et al. Water Resources Management, 34, 3037(2020).
[14] L Breiman. Machine Learning, 45, 5(2001).
[15] D Ballabio, V Consonni. Analytical Methods, 5, 3790(2013).
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Yuan FANG, Zhang-ping HE, Shi-chao ZHU, Xian-rong LIANG, Gang JIN. In-Line Identification of Different Grades of GPPS Based on Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2759
Paper Information
Category: Research Articles
Received: Aug. 24, 2020
Accepted: --
Published Online: Oct. 29, 2021
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