Abstract
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Article Information:
Food Safety Evaluation System Construction Based on Artificial Neural Network
Jian Wang, Zhenmin Tang and Xianli Jin
Corresponding Author: Xianli Jin
Submitted: November 10, 2014
Accepted: February 5, 2015
Published: May 10, 2015 |
Abstract:
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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.
Key words: Artificial neural network, evaluation, food safety system, , , ,
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Cite this Reference:
Jian Wang, Zhenmin Tang and Xianli Jin, . Food Safety Evaluation System Construction Based on Artificial Neural Network. Advance Journal of Food Science and Technology, (2): 98-100.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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Sales & Services |
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