| 支持向量机在网络故障诊断中的应用研究 |
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| 引用本文： | 吴静,周建国,晏蒲柳.支持向量机在网络故障诊断中的应用研究[J].计算机工程,2004,30(22):44-46,131. |
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| 作者姓名： | 吴静 周建国 晏蒲柳 |
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| 作者单位： | 武汉大学电信学院,武汉,430079 |
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| 基金项目： | 国家自然科学基金资助项目(90204008) |
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| 摘 要： | 支持向量机是一种解决小样本、非线性、高维问题的机器学习算法，它为网络故障诊断向智能化方向发展提供了新的途径。介绍了支持向量机的基本原理，并且以实验网中采集的数据为例进行了实验，对实验过程和结果进行了说明和分析。
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| 关 键 词： | 计算机网络 网络管理 人工智能 支持向量机 故障诊断 机器学习 |
| 文章编号： | 1000-3428(2004)22-0044-03 |
Research on Application of Support Vector Machines in Network Fault Diagnosis |
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| WU Jing,ZHOU Jianguo,YAN Puliu.Research on Application of Support Vector Machines in Network Fault Diagnosis[J].Computer Engineering,2004,30(22):44-46,131. |
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| Authors: | WU Jing ZHOU Jianguo YAN Puliu |
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| Abstract: | The support vector machine is a kind of novel machine learning method to solve the nonlinear and high dimension problem with small sample set, and it provides a new approach to develop the intelligent network fault diagnosis. In this paper, the basic theory of support vector is introduced. Experimentation with the network data from the laboratorial network is conducted and the experimental process and results are analyzed. |
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| Keywords: | Network fault diagnosis Network management Support vector machine (SVM) Optimal margin hyperplane |
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