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《Journal of Anhui Agricultural Sciences》 2009-08
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Introduction of the SVM and Its Application in the Dairy Products Classification

HAN Yong-peng(Shanxi Agricultural University,Taigu,Shanxi 030801)  
This study aimed to introduce the principles of the SVM first,and then makes an application in the milk classification.Comparing with other machine learning method,the final results proved the effectiveness of SVM methods,as well as feasibility.
【CateGory Index】: TS252.7
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
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8 ;Support Vector Machine For Diagnosis Of Mechanical Fault[J];Sensor World;2006-04
9 TIAN Yu-gang1,LUO Shu-ming2,WANG Xin-zhou3,SHI Pei-jun4(1.College of Engineering,China University of Geosciences,Wuhan 430074,China;2.Hubei Institute of City Planning of Jingshan Country,Jingshan 431800,China;3.College of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;4.Presidential Secretarial,Beijing Normal University,Beijing 100875,China);GPS elevation transform model based on least squares support vector regression[J];Engineering of Surveying and Mapping;2007-04
10 WANG Zhi-jun1,2,GU Chongshi1,2,LIU Hong-cai3(1.College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,China;2.National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety,Nanjing210098,China;3.Fresh Water Fisheries Research Institute of Shandong Province,Jinan 250117,China);Assessment Method of Loss Caused by Dam-Break Based on GIS and SVM[J];Journal of Yangtze River Scientific Research Institute;2008-04
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