Deep Learning Techniques to Improve the Performance of Olive Oil Classification.

Vega-Márquez, Belén; Nepomuceno-Chamorro, Isabel; Jurado-Campos, Natividad; Rubio-Escudero, Cristina

Vega-Márquez, Belén; Nepomuceno-Chamorro, Isabel; Jurado-Campos, Natividad; Rubio-Escudero, Cristina.

Afiliação

Vega-Márquez B; Department of Computer Languages and Systems, University of Sevilla, Sevilla, Spain.
Nepomuceno-Chamorro I; Department of Computer Languages and Systems, University of Sevilla, Sevilla, Spain.
Jurado-Campos N; Department of Analytical Chemistry, Institute of Fine Chemistry and Nanochemistry, International Agrifood Campus of Excellence (ceiA3), University of Córdoba, Córdoba, Spain.
Rubio-Escudero C; Department of Computer Languages and Systems, University of Sevilla, Sevilla, Spain.

Front Chem ; 7: 929, 2019.

Article em En | MEDLINE | ID: mdl-32010673

Palavras-chave

GC-IMS method; chemometric approaches; deep learning; feed-forward neural network; machine learning; olive oil classification

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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Chem Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Espanha