Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

Discussion on Machine Learning Data Processing Methods in Raman Spectrum

Authors
Wei He
Corresponding Author
Wei He
Available Online June 2018.
DOI
10.2991/eame-18.2018.76How to use a DOI?
Keywords
raman spectrum; machine learning; neural networks; sample classification
Abstract

In this paper, exploiting mixed machine learning data processing methods in Raman spectrum, such as data organization, data preprocessing, data analysis, sample classification is discussed. Data experiments showed that the mixed machine learning data processing methods in Raman spectrum had good performance.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
Series
Advances in Engineering Research
Publication Date
June 2018
ISBN
978-94-6252-538-2
ISSN
2352-5401
DOI
10.2991/eame-18.2018.76How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wei He
PY  - 2018/06
DA  - 2018/06
TI  - Discussion on Machine Learning Data Processing Methods in Raman Spectrum
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 361
EP  - 363
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.76
DO  - 10.2991/eame-18.2018.76
ID  - He2018/06
ER  -