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.
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Ilia Nouretdinov, Guang Li, Alexander Gammerman, Zhiyuan Luo. Application of Conformal Predictors to Tea Classification Based on Electronic Nose. 6th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI), Oct 2010, Larnaca, Cyprus. pp.303-310, ⟨10.1007/978-3-642-16239-8_40⟩. ⟨hal-01060632⟩

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