Abstract

The study established a BP neural network prediction model to test the effect of the application to predict the food safety Index. The GA was used to optimize the weights and thresholds of BP neural network. The theoretical analysis and experimental results prove that the BP neural network prediction is feasible for the food safety Index. The index prediction has some value in the field of food index forecast.

Keywords:

BP neural network prediction, food safety index, GA algorithm,

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Competing interests

The authors have no competing interests.

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The authors have no competing interests.