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...
Main Authors: | Ran Yang, Zhenbo Wang, Jiajia Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Foods |
Subjects: | |
Online Access: | https://www.mdpi.com/2304-8158/10/4/763 |
Similar Items
-
Mechanistic and Machine Learning Modeling of Microwave Heating Process in Domestic Ovens: A Review
by: Ran Yang, et al.
Published: (2021-08-01) -
Modeling-Based Minimization of Time-to-Uniformity in Microwave Heating Systems
by: Cordes, Brian G.
Published: (2007) -
Paper Machine Modeling at Norske Skog Saugbrugs: A Mechanistic Approach
by: Tor A. Hauge, et al.
Published: (2002-01-01) -
Dynamic Model for a Uniform Microwave-Assisted Continuous Flow Process of Ethyl Acetate Production
by: Yuanyuan Wu, et al.
Published: (2018-04-01) -
Evaluation of conventional and microwave heating systems for food processing based on TTI kinetics
by: Tong, Zhen, 1970-
Published: (2002)