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)...

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Bibliographic Details
Main Authors: Yen-Tung Liu, Kea-Tiong Tang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9145749/

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