A Minimum Distance Inlier Probability (MDIP) Feature Selection Method to Improve Gas Classification for Electronic Nose Systems
For electronic nose systems to obtain meaningful information from sensor data, sensor response features are first extracted for further signal processing. However, redundant features may diminish the accuracy of gas classification. To solve this problem, a minimum distance inlier probability (MDIP)...
Main Authors: | Yen-Tung Liu, Kea-Tiong Tang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9145749/ |
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