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

被引：2

作者：

Wang Kaiyi ^{[1
,2
]}

Zhao Chunjiang ^{[1
]}

Zhang Fang Tian ^{[1
]}

Wang Xiao Juan ^{[1
]}

Chen Hong ^{[1
]}

Yao Yuan Fang ^{[1
]}

机构：

[1] Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

[2] Beijing Univ Technol, Beijing 100022, Peoples R China

来源：

NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH | 2007年 / 50卷 / 05期

关键词：

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

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

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.

引用

页码：743 / 748

页数：6

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