文章基本信息

标题：Support vector machine applied in the agriculture of Fanjing Mountain Areas
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作者：Lina Yuan ; Huajun Chen ; Jing Gong 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：170
期号：3
页码：032049
DOI：10.1088/1755-1315/170/3/032049
语种：English
出版社：IOP Publishing
摘要：The method of Support Vector Machine (SVM) in Machine Learning (ML) has the advantages of complete theory, strong adaptability, global optimization, short training time and good generalization performance, which has become a hot topic in international and domestic research. Therefore, it is of great meaning to apply SVM to the modernization and intellectualization agriculture of Fanjing Mountain Areas of Tongren city, Guizhou province. This article introduces the basic situation of Fanjing Mountain Areas's agriculture in Section I. Section II and III expounds the method of kernel and four multi-class SVMs respectively. A practical application case about the shape classification problem of "clenched fist" in SVM is done in Section IV, and finally Section V concludes the full text.