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/).
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 -