| 支持向量机分类算法在MATLAB环境下的实现 |
| |
| 引用本文： | 董婷.支持向量机分类算法在MATLAB环境下的实现[J].榆林高等专科学校学报,2008,18(4):94-96. |
| |
| 作者姓名： | 董婷 |
| |
| 作者单位： | 榆林学院计算机与网络工程系,陕西榆林719000 |
| |
| 摘 要： | 支持向量机算法SVM（Support Vector Machine）做为新一代机器学习算法近年来被成功的应用到很多模式识别问题中，其在数学上表示为求解一个二次规划问题。主要论述了支持向量机分类算法在MATLAB环境下的具体实现方法，为支持向量机算法的学习者和非计算机专业的广大研究人员提供一种简单、方便、高效、可行实现方法。
|
| 关 键 词： | SVM 二次归划 MATLAB |
SVM Algorithm Realized in MABLAB |
| |
| DONG Ting.SVM Algorithm Realized in MABLAB[J].Journal of Yulin College,2008,18(4):94-96. |
| |
| Authors: | DONG Ting |
| |
| Institution: | DONG Ting ( Department of Computer and Network Engineering, Yulin College, Yulin 719000, Shaanxi) |
| |
| Abstract: | As a novel - generation - machine - learning - method, Support Vector Machine has caught much attention in recent years , and successfully used in some topics of pattern recognition. In mathematics it presents a quadratic programming. The ways and means to realize SVM in MATLAB are mainly introduced in this paper, and also a simple, efficient, trustful method is offered to the people who studySVM and the people who do the research work. |
| |
| Keywords: | SVM QP MATLAB |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
