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.

Keywords:

Artificial neural network, evaluation, food safety system,

References

1. Gorris, L.G.M., 2005. Food safety objective: An integral part of food chain management. Food Control, 16: 801-809.
   CrossRef    
2. Jiang, L., 2001. Introduction to Artificial Neural Networks. Higher Education Press, China.
   
3. Karl, R. and A.J. Beck, 2000. Evaluation of worldwide approaches to the use of HACCP to control food safety. Trends Food Sci. Tech., 11(4): 10-21.
   CrossRef    
4. Mikola, K. and A. Schmid, 2005. Performance evaluation of local descriptors. IEEE T. Pattern Anal., 27(10): 1615-1630.
   CrossRef    PMid:16237996    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.