An Anthocyanin Prediction Model of Blueberry Pomace Based on Stacked Supervised Autoencoders
Based on the visible and near-infrared reflectance spectroscopy technique, stacked supervised autoencoders (SSAE) in deep learning were used to model the anthocyanin content of blueberry pomace. First, preprocessing and feature screening for spectral data were performed. With the minimum value of pr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
The editorial department of Science and Technology of Food Industry
2023-05-01
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| Series: | Shipin gongye ke-ji |
| Subjects: | |
| Online Access: | http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2022070227 |