Application of deep learning and near infrared spectroscopy in cereal analysis

•A method for quickly analyzing cereal characteristics.•The method is based on deep learning and near infrared spectroscopy.•Uses stacked sparse autoencoder to extract features of near infrared spectral data.•A near infrared spectroscopy analysis model was proposed.•Compared with other methods, the...

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Veröffentlicht in:	Vibrational spectroscopy Jg. 106; S. 103009
1. Verfasser:	Le, Ba Tuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2020
Schlagworte:	Cereal analysis Deep learning Extreme learning machine Near-Infrared spectroscopy sTacked sparse autoencoder Deep learning Near-Infrared spectroscopy Cereal analysis Extreme learning machine sTacked sparse autoencoder
ISSN:	0924-2031, 1873-3697
Online-Zugang:	Volltext
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