Classification of Data from Electronic Nose Using Gradient Tree Boosting Algorithm.
Sensors (Basel)
; 17(10)2017 Oct 18.
Article
em En
| MEDLINE
| ID: mdl-29057792
ABSTRACT
In this paper, an approach that can fast classify the data from the electronic nose is presented. In this approach the gradient tree boosting algorithm is used to classify the gas data and the experiment results show that the proposed gradient tree boosting algorithm achieved high performance on this classification problem, outperforming other algorithms as comparison. In addition, electronic nose we used only requires a few seconds of data after the gas reaction begins. Therefore, the proposed approach can realize a fast recognition of gas, as it does not need to wait for the gas reaction to reach steady state.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Sensors (Basel)
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
China