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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