大数据挖掘在食品安全风险预警领域的应用

The Application of Big Data Mining in Food Safety Alert Field

食品安全综合评价与预警是食品安全的重难点。该研究着重介绍了大数据挖掘在食品安全风险预警领域的应用。首先对大数据的基本概念及3种典型的大数据挖掘技术(贝叶斯网络、决策树以及人工神经网络)概念进行分析,并探讨这3种大数据挖掘方式在食品安全行业的应用现状。之后比较3种大数据挖掘方式,提出将其中一种大数据挖掘方式BP神经网络运用于食品安全风险预警的构想。

Comprehensive evaluation and alert in food safety is very important and difficult. This essay mainly focuses on introducing the ap- plication of big data mining in food safety alert field. At first, the concept of big data miming and three big data methods（ Bayesian network, Decision tree, BP neural network） were analyzed. At the same time, the application status of these three big data miming methods in food safety areas were discussed. Then these big data miming methods were compared, and how to apply BP neural network into food safety risk a- lert was proposed.