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