A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products

A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products

Grain processing products constitute an essential component of the human diet and are among the main sources of heavy metal intake. Therefore, a systematic assessment of risk factors and early-warning systems are vital to control heavy metal hazards in grain processing products. In this study, we es...

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Bibliographic Details
Main Authors: Zuzheng Wang, Zhixiang Wu, Minke Zou, Xin Wen, Zheng Wang, Yuanzhang Li, Qingchuan Zhang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Foods
Subjects:
food safety risk assessment
risk level classification
grain processing products
heavy metal hazard
multi-step time series prediction
deep learning
Online Access:https://www.mdpi.com/2304-8158/11/6/823

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