A boosting extreme learning machine for near-infrared spectral quantitative analysis of diesel fuel and edible blend oil samples
Author:
Affiliation:
1. State Key Laboratory of Separation Membranes and Membrane Processes
2. Tianjin Polytechnic University
3. Tianjin
4. P. R. China
5. School of Environmental and Chemical Engineering
6. Department of Chemical Technology
Abstract
A novel boosting extreme learning machine is proposed for near-infrared spectral quantitative analysis which greatly enhances predictive accuracy and stability.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2017/AY/C7AY00353F
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