Research and Application of Quality Detection Method for Corn Oil Based on Neural Network Algorithm
Authors
Wei-Feng Gao, Ming-fen Wu
Corresponding Author
Wei-Feng Gao
Available Online May 2016.
- DOI
- 10.2991/icaset-16.2016.34How to use a DOI?
- Keywords
- Neural network algorithm, Corn oil, Infrared spectrum, Quality detection
- Abstract
The nutritious value of corn oil is gradually recognized by the public, while with the expansion of its production, how to detect its quality has become a tough problem. The research performs data analysis on the infrared spectrum of corn oil to inspect the quality of corn oil by adopting neural network algorithm. Experiments have proved that the method can test the quality of corn oil effectively and compared with other ways, it is qualified with the advantages of high efficiency and accuracy, so it is worthy to be promoted and used.
- Copyright
- © 2016, 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-Feng Gao AU - Ming-fen Wu PY - 2016/05 DA - 2016/05 TI - Research and Application of Quality Detection Method for Corn Oil Based on Neural Network Algorithm BT - Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology PB - Atlantis Press SP - 169 EP - 174 SN - 2352-5401 UR - https://doi.org/10.2991/icaset-16.2016.34 DO - 10.2991/icaset-16.2016.34 ID - Gao2016/05 ER -