A modified random forest approach to improve multi-class classification performance of tobacco leaf grades coupled with NIR spectroscopy
Author:
Affiliation:
1. College of Bioscience and Biotechnology
2. Hunan Agricultural University
3. Changsha
4. China
5. Shanghai Tobacco Group Co., Ltd.
6. Shanghai
7. College of Chemistry and Chemical Engineering
8. Central South University
Abstract
A novel approach, namely MC-UVE-RF, to improve multi-class classification performance of tobacco leaf grades by NIR spectroscopy.
Publisher
Royal Society of Chemistry (RSC)
Subject
General Chemical Engineering,General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2016/RA/C5RA25052H
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1. Bayesian Methods for Nonlinear Classification and Regression
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