Pseudo Optimization of E-Nose Data Using Region Selection with Feature Feedback Based on Regularized Linear Discriminant Analysis

Pseudo Optimization of E-Nose Data Using Region Selection with Feature Feedback Based on Regularized Linear Discriminant Analysis

In this paper, we present a pseudo optimization method for electronic nose (e-nose) data using region selection with feature feedback based on regularized linear discriminant analysis (R-LDA) to enhance the performance and cost functions of an e-nose system. To implement cost- and performance-effect...

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Bibliographic Details
Main Authors: Gu-Min Jeong, Nguyen Trong Nghia, Sang-Il Choi
Format: Article
Language:English
Published: MDPI AG 2014-12-01
Series:Sensors
Subjects:
e-nose system
vapor classification
feature feedback
discriminant feature
Online Access:http://www.mdpi.com/1424-8220/15/1/656

Internet

http://www.mdpi.com/1424-8220/15/1/656

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