Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine (2018)
- Authors:
- Autor USP: CASTRO, INAR ALVES DE - FCF
- Unidade: FCF
- DOI: 10.1016/j.measurement.2018.01.052
- Subjects: VINHO; REDES NEURAIS
- Language: Inglês
- Imprenta:
- Source:
- Título: Measurement
- ISSN: 0263-2241
- Volume/Número/Paginação/Ano: v. 120, p. 92-99, 2018
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
COSTA, Nattane Luíza et al. Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine. Measurement, v. 120, p. 92-99, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.measurement.2018.01.052. Acesso em: 29 jan. 2026. -
APA
Costa, N. L., Llobodanin, L. A. G., Lima, M. D. de, Castro, I. A. de, & Barbosa, R. M. (2018). Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine. Measurement, 120, 92-99. doi:10.1016/j.measurement.2018.01.052 -
NLM
Costa NL, Llobodanin LAG, Lima MD de, Castro IA de, Barbosa RM. Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine [Internet]. Measurement. 2018 ; 120 92-99.[citado 2026 jan. 29 ] Available from: https://doi.org/10.1016/j.measurement.2018.01.052 -
Vancouver
Costa NL, Llobodanin LAG, Lima MD de, Castro IA de, Barbosa RM. Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine [Internet]. Measurement. 2018 ; 120 92-99.[citado 2026 jan. 29 ] Available from: https://doi.org/10.1016/j.measurement.2018.01.052 - Oxidation products from omega-3 and omega-6 fatty acids during a simulated shelf life of edible oils
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Informações sobre o DOI: 10.1016/j.measurement.2018.01.052 (Fonte: oaDOI API)
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