Feasibility of an NIR spectral calibration transfer algorithm based on optimized feature variables to predict tobacco samples in different states-Reference-Cited by-同舟云学术

Feasibility of an NIR spectral calibration transfer algorithm based on optimized feature variables to predict tobacco samples in different states

Author:

Geng Yingrui¹,Ni Hongfei¹²,Shen Huanchao¹²,Wang Hui³,Wu Jizhong³,Pan Keyu¹,Wu Yongjiang¹,Chen Yong¹,Luo Yingjie¹,Xu Tengfei¹,Liu Xuesong¹^ORCID

Affiliation:

1. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China

2. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Hangzhou 310018, China

3. Technology Center, China Tobacco Zhejiang Industrial Co., Ltd, Hangzhou 310008, China

Abstract

NIR spectral calibration transfer based on optimized feature variables to predict different states of tobacco sample.

Funder

Zhejiang University

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

Reference46 articles.

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