Denoising stacked autoencoders‐based near‐infrared quality monitoring method via robust samples evaluation

This paper proposes a denoising stacked autoencoders‐based near‐infrared spectroscopy on‐line quality monitoring model via robust sample evaluation. The previous related work tends to focus on the near infrared spectrum data from the high dimension, multicollinearity, and information redundancy, and...

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Vydané v:	Canadian journal of chemical engineering Ročník 101; číslo 5; s. 2693 - 2703
Hlavní autori:	Lv, Jiapeng, Chen, Zihao, Luan, Xiaoli, Liu, Fei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 01.05.2023 Wiley Subscription Services, Inc
Predmet:	Denoising stacked auto‐encoders Distillation Feature extraction Moisture effects Monitoring Near infrared radiation near‐infrared spectroscopy Noise reduction Nonlinearity quality monitoring Redundancy robust sample evaluation Robustness Samples Sensitivity Spectrum analysis
ISSN:	0008-4034, 1939-019X
On-line prístup:	Získať plný text
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