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Journal of Analytical Methods in Chemistry
Volume 2018, Article ID 5237308, 9 pages
https://doi.org/10.1155/2018/5237308
Research Article

Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection

1Beijing Key Laboratory for Optoelectronic Measurement Technology, Beijing Information Science & Technology University, Beijing 100192, China
2School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, Beijing 100191, China
3Department of Chemistry, Tsinghua University, Beijing 100084, China

Correspondence should be addressed to Lianqing Zhu; moc.anis@gniqnailuhz

Received 2 July 2017; Revised 5 November 2017; Accepted 14 November 2017; Published 29 January 2018

Academic Editor: Ricardo Jorgensen Cassella

Copyright © 2018 Lianqing Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Lianqing Zhu, Haitao Chang, Qun Zhou, and Zhongyu Wang, “Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection,” Journal of Analytical Methods in Chemistry, vol. 2018, Article ID 5237308, 9 pages, 2018. https://doi.org/10.1155/2018/5237308.