Efficiency Evaluation of Food Safety Management Based on Improved Hidden Markov Model
Yingchun Guo, Jianyue Ma, Shubo Zhang
Journal of Networking Technology, Vol. 15, No. 4, 2024.
DOI: https://doi.org/10.6025/jnt/2024/15/4/142-149
Link: https://www.dline.info/jnt/fulltext/v15n4/jntv15n4_4.pdf
Abstract:
Food safety management is crucial for social stability and is an important
component of the countryâ€™s long-term development strategy. Previous food safety
management methods failed to achieve dynamic supervision of various links in
the food production-to-sales process and needed more objectivity in food safety
testing. Therefore, this paper introduces the Markov model into food safety
management and optimizes it using the cuckoo search algorithm to improve
parameter convergence speed and solve the global optimal solution problem.
Experimental results demonstrate that based on the improved hidden Markov
model, the food safety management model can effectively achieve dynamic food
safety supervision and improve food safety risk assessment accuracy. In practical
applications, it significantly enhances food management efficiency and improves
technical and scale efficiency.