Research on a Mixed Gas Classification Algorithm Based on Extreme Random Tree
Because of the low accuracy of the current machine olfactory algorithms in detecting two mixed gases, this study proposes a hybrid gas detection algorithm based on an extreme random tree to greatly improve the classification accuracy and time efficiency. The method mainly uses the dynamic time warpi...
Main Authors: | Yonghui Xu, Xi Zhao, Yinsheng Chen, Zixuan Yang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/9/1728 |
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