Predictive Models of Phytosterol Degradation in Rapeseeds Stored in Bulk Based on Artificial Neural Networks and Response Surface Regression

Predictive Models of Phytosterol Degradation in Rapeseeds Stored in Bulk Based on Artificial Neural Networks and Response Surface Regression

The need to maintain the highest possible levels of bioactive components contained in raw materials requires the elaboration of tools supporting their processing operations, starting from the first stages of the food production chain. In this study, artificial neural networks (ANNs) and response sur...

Full description

Bibliographic Details
Main Authors: Jolanta Wawrzyniak, Magdalena Rudzińska, Marzena Gawrysiak-Witulska, Krzysztof Przybył
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Molecules
Subjects:
phytosterol degradation
rapeseed storage
artificial neural networks
response surface regression
predictive modeling
postharvest preservation systems
Online Access:https://www.mdpi.com/1420-3049/27/8/2445

Internet

https://www.mdpi.com/1420-3049/27/8/2445

Similar Items