2018年
Odor classification for human breath using neural networks
Advances in Intelligent Systems and Computing
- 巻
- 620
- 号
- 開始ページ
- 293
- 終了ページ
- 300
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1007/978-3-319-62410-5_36
- 出版者・発行元
- Springer Verlag
The principle of metal-oxide gas sensors is based on oxidation and reduction rule. The aim of this paper is to classify odors of breath in which several gasses are mixed. Using neural networks to train a specific odor we classify mixed odors. First, we train a layered neural network for specific odor which is main component of our breath. Then we apply the breath data to classify the other components.
- リンク情報
- ID情報
-
- DOI : 10.1007/978-3-319-62410-5_36
- ISSN : 2194-5357
- DBLP ID : conf/dcai/Omatu17
- SCOPUS ID : 85022191872