Hybrid variable selection strategy coupled with random forest (RF) for quantitative analysis of methanol in methanol-gasoline via Raman spectroscopy-Reference-Cited by-同舟云学术

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Hybrid variable selection strategy coupled with random forest (RF) for quantitative analysis of methanol in methanol-gasoline via Raman spectroscopy

Published:2021-04 Issue: Volume:251 Page:119430
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Li Maogang,Xu Yanyan,Men Jing,Yan Chunhua,Tang Hongsheng,Zhang Tianlong,Li Hua

Funder

National Natural Science Foundation of China

Xi'an Shiyou University

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference32 articles.

1. Projection of world fossil fuels by country;Mohr;Fuel,2015

2. Energy transitions or additions? Why a transition from fossil fuels requires more than the growth of renewable energy;York;Energy Res. Soc. Sci.,2019

3. The effect of different alcohol fuels on the performance, emission and combustion characteristics of a gasoline engine;Balki;Fuel,2014

4. An overview of methanol as an internal combustion engine fuel;Zhen;Renew. Sust, Energ. Rev.,2015

5. Investigation on characteristics of exhaust and evaporative emissions from passenger cars fueled with gasoline/methanol blends;Dai;Fuel,2013

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3. Unsupervised Clustering-Assisted Method for Consensual Quantitative Analysis of Methanol–Gasoline Blends by Raman Spectroscopy;Molecules;2024-03-22

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5. Qualitative and quantitative studies of phthalates in extra virgin olive oil (EVOO) by surface-enhanced Raman spectroscopy (SERS) combined with long short term memory (LSTM) neural network;Food Chemistry;2024-02

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