Expansion and Prediction of Small Sample Data of Contaminants in Grain Processing Using Combination of Generative Adversarial Networks and Deep Forest
Accurate prediction of pollutants in grain processing is of great significance to ensure food safety. However, due to the complexity of grain processing and the difficulty of pollutant detection, the data volume is too small to meet the needs of modeling and forecasting, so it is necessary to develo...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
China Food Publishing Company
2024-06-01
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| Colecção: | Shipin Kexue |
| Assuntos: | |
| Acesso em linha: | https://www.spkx.net.cn/fileup/1002-6630/PDF/2024-45-12-003.pdf |
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