Application of a support vector machine to HACCP in the animal meat industry

文献类型： 外文期刊

第一作者： Wang Kaiyi

作者： Wang Kaiyi;Zhao Chunjiang;Zhang Fang Tian;Wang Xiao Juan;Chen Hong;Yao Yuan Fang;Wang Kaiyi

作者机构：

关键词： critical control point (CCP); HACCP; hazard analysis; kernel function; support vector machine (SVM)

期刊名称：NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH （ 影响因子：2.161； 五年影响因子：1.988 ）

ISSN： 0028-8233

年卷期： 2007 年 50 卷 5 期

页码：

收录情况： SCI

摘要： The practical implementation of hazard analysis and critical control point (HACCP), and in particular the definition of the critical control points in the food industry, is usually a complex structured task. A support vector machine has been constructed to solve this problem. The proposed methodology allows one to implement the first and second principles in the application of HACCP automatically and intellectually. The CCP identification is regarded as a classification problem-to classify the hazards into CCPs and non-CCPs. The system is tested through real cases and the results are given.

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