Predictive models of phytosterol degradation in rapeseeds stored in bulk based on artificial neural networks and response surface regression

HIGHLIGHTS

• who: Jolanta Wawrzyniak and colleagues from the Faculty of Food Science and Nutrition, Poznanu0301 University of Life Sciences, Poznanu0301, Poland have published the research work: Predictive Models of Phytosterol Degradation in Rapeseeds Stored in Bulk Based on Artificial Neural Networks and Response Surface Regression, in the Journal: Molecules 2022, 2445 of /2022/
• what: Using these data, in this study, an attempt was made to develop a model based on artificial neural_networks (ANNs) and response surface regression (RSR) to predict the kinetics of phytosterol degradation in 3 of 18 a stored bulk of rapeseeds with a . . .
  

   

  

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