Improved Algorithms for the Classification of Rough Rice Using a Bionic Electronic Nose Based on PCA and the Wilks Distribution

Improved Algorithms for the Classification of Rough Rice Using a Bionic Electronic Nose Based on PCA and the Wilks Distribution

Principal Component Analysis (PCA) is one of the main methods used for electronic nose pattern recognition. However, poor classification performance is common in classification and recognition when using regular PCA. This paper aims to improve the classification performance of regular PCA based on t...

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Bibliographic Details
Main Authors: Sai Xu, Zhiyan Zhou, Huazhong Lu, Xiwen Luo, Yubin Lan
Format: Article
Language:English
Published: MDPI AG 2014-03-01
Series:Sensors
Subjects:
wilks distribution
principle component analysis (PCA)
bionic electronic nose
gas sensor
rough rice
classification and recognition
probabilistic neural networks
Online Access:http://www.mdpi.com/1424-8220/14/3/5486

Internet

http://www.mdpi.com/1424-8220/14/3/5486

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