Evaluation of an autoencoder as a feature extraction tool for near-infrared spectroscopic discriminant analysis.

Jo, Seeun; Sohng, Woosuk; Lee, Hyeseon; Chung, Hoeil

Jo, Seeun; Sohng, Woosuk; Lee, Hyeseon; Chung, Hoeil.

Afiliação

Jo S; Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
Sohng W; Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, Seoul 04763, Republic of Korea.
Lee H; Department of Industrial and Management Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea. Electronic address: hyelee@postech.ac.kr.
Chung H; Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, Seoul 04763, Republic of Korea. Electronic address: hoeil@hanyang.ac.kr.

Food Chem ; 331: 127332, 2020 Nov 30.

Article em En | MEDLINE | ID: mdl-32593040

Assuntos

Informática/métodos; Espectroscopia de Luz Próxima ao Infravermelho; Análise Discriminante; Análise de Componente Principal; Máquina de Vetores de Suporte

Palavras-chave

Agricultural products; Autoencoder; Feature extraction; Geographical origin identification; Near-infrared spectroscopy

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectroscopia de Luz Próxima ao Infravermelho / Informática Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem Ano de publicação: 2020 Tipo de documento: Article

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