| 支持向量机模型与应用综述 |
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| 引用本文： | 刘方园,王水花,张煜东.支持向量机模型与应用综述[J].计算机系统应用,2018,27(4):1-9. |
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| 作者姓名： | 刘方园 王水花 张煜东 |
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| 作者单位： | 南京师范大学 计算机科学与技术学院, 南京 210023,南京师范大学 计算机科学与技术学院, 南京 210023,南京师范大学 计算机科学与技术学院, 南京 210023 |
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| 基金项目： | 国家自然科学基金（61602250，61503188）；江苏省自然科学基金（BK20150983，BK20150982）；江苏省高校自然科学研究面上项目（16KJB520025，15KJB470010） |
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| 摘 要： | 依据支持向量机的发展引用多篇基于不同领域应用的文献，包括文本识别、人体部位、车辆交通、医疗检测及其他领域.同时从核函数方法的原理和贴合实际数据集的多分类方法两方面详细阐述支持向量机的理论基础和发展历程.研究表明，支持向量机技术改进和应用的发展空间是无限的，识别分类技术的前景是广阔的.
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| 关 键 词： | 支持向量机 核函数 文本 医疗 车辆 分类 |
| 收稿时间： | 2017/7/10 0:00:00 |
| 修稿时间： | 2017/7/24 0:00:00 |
Overview on Models and Applications of Support Vector Machine |
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| LIU Fang-Yuan,WANG Shui-Hua and ZHANG Yu-Dong.Overview on Models and Applications of Support Vector Machine[J].Computer Systems& Applications,2018,27(4):1-9. |
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| Authors: | LIU Fang-Yuan WANG Shui-Hua and ZHANG Yu-Dong |
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| Affiliation: | School of Computer Science and Technology, Nanjing Normal University, Nanjing 210023, China,School of Computer Science and Technology, Nanjing Normal University, Nanjing 210023, China and School of Computer Science and Technology, Nanjing Normal University, Nanjing 210023, China |
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| Abstract: | According to the development of support vector machine, this study reviews many literatures based on applications in different domains, such as text classification, human body detection, vehicle traffic recognition, medical examination, and so on. Meanwhile, the theory and development of support vector machine are both expounded in detail from the principle of kernel function and its multiple classifications based on actual dataset. The potential improvements of support vector machine technology are infinite. We look forward to see their development prospects. |
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| Keywords: | support vector machine kernel text medical vehicle classification |
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