Quantitative analysis of gas phase IR spectra based on extreme learning machine regression model

Quantitative analysis of gas phase IR spectra based on extreme learning machine regression model

Advanced chemometric analysis is required for rapid and reliable determination of physical and/or chemical components in complex gas mixtures. Based on infrared (IR) spectroscopic/sensing techniques, we propose an advanced regression model based on the extreme learning machine (ELM) algorithm for qu...

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Bibliographic Details
Main Authors: Ouyang, Tinghui, Wang, Chongwu, Yu, Zhangjun, Stach, Robert, Mizaikoff, Boris, Liedberg, Bo, Huang, Guang-Bin, Wang, Qi-Jie
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering
Gas Sensing
Quantitative Spectrum Analysis
Online Access:https://hdl.handle.net/10356/145682

Internet

https://hdl.handle.net/10356/145682

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