載入...
Domain Correction Based on Kernel Transformation for Drift Compensation in the E-Nose System
This paper proposes a way for drift compensation in electronic noses (e-nose) that often suffers from uncertain and unpredictable sensor drift. Traditional machine learning methods for odor recognition require consistent data distribution, which makes the model trained with previous data less genera...
Na minha lista:
| Main Authors: | , , , , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI AG
2018-09-01
|
| 叢編: | Sensors |
| 主題: | |
| 在線閱讀: | http://www.mdpi.com/1424-8220/18/10/3209 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|