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

被引：1

作者：

Yin J. ^{[1
]}

Chen X. ^{[2
]}

Dong M. ^{[1
]}

Chen L. ^{[1
]}

Guo P. ^{[1
]}

Zhang T. ^{[1
]}

Wen H. ^{[1
]}

机构：

[1] Hubei Provincial Engineering and Technology Research Center for Food Quality and Safety Test, Hubei Provincial Institute for Food Supervision and Test, Wuhan

[2] School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan

来源：

Shipin Kexue/Food Science | 2022年 / 43卷 / 03期

关键词：

Long short-term memory; Marinated meat products; Risk prediction model; Wavelet transform;

D O I：

10.7506/spkx1002-6630-20201224-277

中图分类号：

学科分类号：

摘要：

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. © 2022, China Food Publishing Company. All right reserved.

引用

页码：121 / 128

页数：7

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