Prediction and Analysis of Marinated Meat Product Safety Risk Using Wavelet Transform-Long Short-Term Memory Prediction Model

doi:10.7506/spkx1002-6630-20201224-277

FOOD SCIENCE ›› 2022, Vol. 43 ›› Issue (3): 121-128.doi: 10.7506/spkx1002-6630-20201224-277

• Nutrition & Hygiene • Previous Articles Next Articles

Prediction and Analysis of Marinated Meat Product Safety Risk Using Wavelet Transform-Long Short-Term Memory Prediction Model

YIN Jia, CHEN Xiang, DONG Man, CHEN Li, GUO Pengcheng, ZHANG Tao, WEN Hong

(1. Hubei Provincial Engineering and Technology Research Center for Food Quality and Safety Test, Hubei Provincial Institute for Food Supervision and Test, Wuhan 430075, China; 2. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China)

Online:2022-02-15 Published:2022-03-08

Abstract

Abstract: In order to achieve precise early warning of marinated meat product safety, this study attempts to construct a safety risk prediction model for marinated meat products from 31 provinces in China based on nationwide sample survey data from 2014 to 2019 using combination of wavelet transform (WT) and long short-term memory (LSTM). The results showed that the WT-LSTM model had a high prediction accuracy of 0.99 for samples from Hubei province and 0.95 for nationwide samples with a standard deviation of 0.029. The overall accuracy was high with small fluctuations. We concluded that the model can be applied to accurately predict the safety risk level of marinated meat products, and thus can provide technical support for daily supervision and food safety early warning.

Key words: marinated meat products; risk prediction model; wavelet transform; long short-term memory

CLC Number:

TS207.7

YIN Jia, CHEN Xiang, DONG Man, CHEN Li, GUO Pengcheng, ZHANG Tao, WEN Hong. Prediction and Analysis of Marinated Meat Product Safety Risk Using Wavelet Transform-Long Short-Term Memory Prediction Model[J]. FOOD SCIENCE, 2022, 43(3): 121-128.

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Prediction and Analysis of Marinated Meat Product Safety Risk Using Wavelet Transform-Long Short-Term Memory Prediction Model

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