Machine Learning Identifies a Parsimonious Differential Equation for Myricetin Degradation from Scarce Data

Machine Learning Identifies a Parsimonious Differential Equation for Myricetin Degradation from Scarce Data

Accurately modeling the degradation of food antioxidants in oils is essential for understanding oxidative stability and improving food shelf life. This study presents an innovative machine learning approach integrating neural differential equations and sparse symbolic regression to derive a parsimon...

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Bibliographic Details
Main Authors: Andrew Fulkerson, Ipek Bayram, Eric A. Decker, Carlos Parra-Escudero, Jiakai Lu, Carlos M. Corvalan
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Foods
Subjects:
machine learning
neural differential equations
sparse symbolic regression
food chemistry
antioxidant degradation
shelf life prediction
Online Access:https://www.mdpi.com/2304-8158/14/12/2135
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