An Integrated Approach of Mechanistic-Modeling and Machine-Learning for Thickness Optimization of Frozen Microwaveable Foods

An Integrated Approach of Mechanistic-Modeling and Machine-Learning for Thickness Optimization of Frozen Microwaveable Foods

Mechanistic-modeling has been a useful tool to help food scientists in understanding complicated microwave-food interactions, but it cannot be directly used by the food developers for food design due to its resource-intensive characteristic. This study developed and validated an integrated approach...

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Bibliographic Details
Main Authors: Ran Yang, Zhenbo Wang, Jiajia Chen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Foods
Subjects:
mechanistic-modeling
machine-learning
microwaveable food design
Bayesian optimization
thickness
heating uniformity
Online Access:https://www.mdpi.com/2304-8158/10/4/763

Internet

https://www.mdpi.com/2304-8158/10/4/763

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