Study on Risk Pre-warning Model of China Food based on SVM Classification

摘要

The food problem is a global problem and manycountries in the world recognize the food issue that is related to aglobal safety problem of this century. In order to overcome somedeficiencies of traditional risk pre-warning model of food in theseaspects of hypotheses, sample size and generalization capabilities,etc., this article combines support vector machineclassification(SVM)theory with pre-warning theory, and proposes afood security pre-warning systems based on SVM theory, which isapplied the risk pre-warning model of China food. The result showsthat the assessment system based on SVM is clear and simple, andachieves more desirable results of the assessment.