Application of Conformal Predictors to Tea Classification Based on Electronic Nose

Abstract : In this paper, we present an investigation into the performance of conformal predictors for discriminating the aroma of different types of tea using an electronic nose system based on gas sensors. We propose a new non-conformity measure for the implementation of conformal predictors based on Support Vector Machine for multi-class classification problems. The experimental results have shown the good performance of the implemented conformal predictors.
Type de document :
Communication dans un congrès
Harris Papadopoulos; Andreas S. Andreou; Max Bramer. 6th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI), Oct 2010, Larnaca, Cyprus. Springer, IFIP Advances in Information and Communication Technology, AICT-339, pp.303-310, 2010, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-16239-8_40〉
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01060632
Contributeur : Hal Ifip <>
Soumis le : jeudi 16 novembre 2017 - 15:57:55
Dernière modification le : dimanche 17 décembre 2017 - 01:11:25
Document(s) archivé(s) le : samedi 17 février 2018 - 15:25:02

Fichier

NouretdinovLGL10.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Ilia Nouretdinov, Guang Li, Alexander Gammerman, Zhiyuan Luo. Application of Conformal Predictors to Tea Classification Based on Electronic Nose. Harris Papadopoulos; Andreas S. Andreou; Max Bramer. 6th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI), Oct 2010, Larnaca, Cyprus. Springer, IFIP Advances in Information and Communication Technology, AICT-339, pp.303-310, 2010, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-16239-8_40〉. 〈hal-01060632〉

Partager

Métriques

Consultations de la notice

72

Téléchargements de fichiers

5