Study on Risk Pre-Warning Model of China Food Based on SVM Classification

The food problem is a global problem and many countries in the world recognize the food issue that is related to a global safety problem of this century. In order to overcome some deficiencies of traditional risk pre-warning model of food in these aspects of hypotheses, sample size and generalization capabilities, etc., this article combines support vector machine classification(SVM)theory with pre-warning theory, and proposes a food security pre-warning systems based on SVM theory, which is applied the risk pre-warning model of China food. The result shows that the assessment system based on SVM is clear and simple, and achieves more desirable results of the assessment.