Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine
| Autor: | Rommel Melgaço Barbosa, Laura Andrea García Llobodanin, Nattane Luiza da Costa, Inar Alves de Castro, Márcio Dias de Lima |
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| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science Applied Mathematics 010401 analytical chemistry Feature selection Pattern recognition 02 engineering and technology Condensed Matter Physics 01 natural sciences 0104 chemical sciences Random forest Support vector machine Statistical classification Multilayer perceptron 0202 electrical engineering electronic engineering information engineering Feature (machine learning) 020201 artificial intelligence & image processing Artificial intelligence Electrical and Electronic Engineering Types of artificial neural networks REDES NEURAIS business Instrumentation Extreme learning machine |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 0263-2241 |
| DOI: | 10.1016/j.measurement.2018.01.052 |
| Popis: | Data mining techniques have been used for the classification of many types of products. In order to classify the Syrah wines from Argentina (Mendoza) and Chile (Central Valley), according to their origin, we perform two feature selection methods with the following classification algorithms: Support Vector Machines (SVM), and two types of artificial neural networks, Multilayer Perceptron (MLP) and Extreme Learning Machine (ELM), on 10-fold cross-validation. Each feature selection method has a different approach, creating also different sets of the most important features. The best model was the combination of variables peon-3-glu, malv-3-glu and pet-3-acetylglu, selected by Random Forest Importance, reaching 98.33% accuracy with ELM, outperforming SVM and MLP. The results obtained from the classifiers and feature subsets are able to confirm the importance of the anthocyanins to classify Syrah wines according to their geographic region. ELM was the best algorithm for classifying Syrah wines. |
| Databáze: | OpenAIRE |
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