A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections

A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections

An electronic nose (E-nose) consisting of 14 metal oxide gas sensors and one electronic chemical gas sensor has been constructed to identify four different classes of wound infection. However, the classification results of the E-nose are not ideal if the original feature matrix containing the maximu...

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Bibliographic Details
Main Authors: Pengfei Jia, Tailai Huang, Li Wang, Shukai Duan, Jia Yan, Lidan Wang
Format: Article
Language:English
Published: MDPI AG 2016-06-01
Series:Sensors
Subjects:
sensor data
electronic nose
SLPP
data pre-processing
wound infection
Online Access:http://www.mdpi.com/1424-8220/16/7/1019

Internet

http://www.mdpi.com/1424-8220/16/7/1019

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