DocumentCode :
536454
Title :
Study on Risk Pre-Warning Model of China Food Based on SVM Classification
Author :
Zhu Changxing ; Wang Fenge
Author_Institution :
Coll. of Civil Eng., Henan Polytech. Univ., Jiaozuo, China
fYear :
2010
fDate :
7-9 Nov. 2010
Firstpage :
1
Lastpage :
3
Abstract :
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.
Keywords :
alarm systems; food safety; support vector machines; China; SVM classification; food security; global safety problem; prewarning model; support vector machine classification; Biological system modeling; Classification algorithms; Classification tree analysis; Kernel; Safety; Security; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
Type :
conf
DOI :
10.1109/ICEEE.2010.5660142
Filename :
5660142
Link To Document :
بازگشت