A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training.

Jia, Pengfei; Huang, Tailai; Duan, Shukai; Ge, Lingpu; Yan, Jia; Wang, Lidan

Jia, Pengfei; Huang, Tailai; Duan, Shukai; Ge, Lingpu; Yan, Jia; Wang, Lidan.

Afiliação

Jia P; College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. jiapengfei200609@126.com.
Huang T; College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. 18580465830@163.com.
Duan S; College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. duansk@swu.edu.cn.
Ge L; College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. gelingpu@126.com.
Yan J; College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. yanjia119@163.com.
Wang L; College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. ldwang@swu.edu.cn.

Sensors (Basel) ; 16(3)2016 Mar 14.

Article em En | MEDLINE | ID: mdl-26985898

Assuntos

Benzeno/isolamento & purificação; Técnicas Biossensoriais/instrumentação; Formaldeído/isolamento & purificação; Tolueno/isolamento & purificação; Algoritmos; Nariz Eletrônico; Humanos

Palavras-chave

electronic nose; indoor pollution gas; semi-supervised learning; unlabeled samples

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tolueno / Benzeno / Técnicas Biossensoriais / Formaldeído Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2016 Tipo de documento: Article

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