Abstract
This study uses regression model and artificial neural network model to apply food safety index in food safety trend predication and makes policy advices in the construction and release of an authoritative food safety index, The results showed that the BP neural network was high-precision, fast and objective, which could be used to food safety evaluation of circulation links of production, processing and sales.
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CITATION STYLE
Wang, J., Tang, Z., & Jin, X. (2015). Food safety evaluation system construction based on artificial neural network. Advance Journal of Food Science and Technology, 8(2), 98–100. https://doi.org/10.19026/ajfst.8.1472
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