计算机与现代化Issue(1)：20-24,5.DOI:10.3969/j.issn.1006-2475.2025.01.004
基于BP神经网络的食品安全风险预警方法
A Food Safety Risk Warning Method Based on BP Neural Network
摘要
Abstract
This paper proposes a food safety risk warning method based on BP neural network.Firstly,a comprehensive food safety risk assessment index system is constructed through screening and integration,and the weights of each indicator are calcu-lated by using the three scale analytic hierarchy process.Then,7 key indicators are selected as input indicators for early warning research to fully reflect the food safety risk situation.Finally,the BP neural network is used for food safety risk warning,and the connection weights and thresholds of the BP neural network are optimized through genetic algorithm to make the output results closer to the expected output.The experimental results show that the risk warning time data range of this method is 7.23 s～10.23 s,and the accuracy data range of risk warning is 94.05%～98.44%,indicating that the BP neural network has good practical ap-plication effect in food safety risk warning and has practicability.关键词
BP神经网络/食品/安全/风险预警/机器学习Key words
BP neural network/food/safety/risk early warning/machine learning分类
信息技术与安全科学引用本文复制引用
徐胜超,陈富强..基于BP神经网络的食品安全风险预警方法[J].计算机与现代化,2025,(1):20-24,5.基金项目
国家自然科学基金面上项目(61972444) （61972444）
