| 采用改进LM算法的网络流量分类方法 |
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| 引用本文： | 胡婷,王勇,陶晓玲.采用改进LM算法的网络流量分类方法[J].计算机工程与应用,2011,47(28):65-68. |
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| 作者姓名： | 胡婷 王勇 陶晓玲 |
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| 作者单位： | 1. 桂林电子科技大学计算机科学与工程学院,广西桂林,541004
2. 桂林电子科技大学网络中心,广西桂林,541004 |
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| 基金项目： | 国家自然科学基金(No.61163058); 广西研究生创新项目(No.2010105950812M21)~~ |
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| 摘 要： | 针对传统的流量分类方法准确率低、开销大、应用范围受限等问题,提出一种有效的网络流量分类方法(GA-LM)。该方法将基于神经网络的分类方法作为网络流量的分类模型,采用L-M算法构造分类器,并用遗传算法优化网络初始连接权值,加速了网络收敛过程,提高了分类性能。通过对收集到的实际网络流量数据进行分类,实验结果表明GA-LM比标准BP算法和L-M算法的收敛速度快,具有较好的可行性和高准确性,从而可有效地用于网络流量分类中。
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| 关 键 词： | 流量分类 统计特征 误差反向传播 Levenberg-Marquardt算法 遗传算法 |
| 修稿时间： | |
Method of network traffic classification using improved LM algorithm |
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| HU Ting,WANG Yong,TAO Xiaoling.Method of network traffic classification using improved LM algorithm[J].Computer Engineering and Applications,2011,47(28):65-68. |
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| Authors: | HU Ting WANG Yong TAO Xiaoling |
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| Affiliation: | HU Ting1,WANG Yong1,TAO Xiaoling21.College of Computer Science and Engineering,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China 2.Network Center,China |
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| Abstract: | In order to solve the problems in current work that rely on the traditional method of traffic classification,such as low accuracy,limited application region,an effective approach for network traffic classification named GA-LM is proposed. This method employs the classification method based on neural network as the classification model of network traffic,and applies L-M algorithm which is an improved BP algorithms and Genetic Algorithm(GA) that optimizes neural network weights,which will speed up the converg... |
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| Keywords: | traffic classification statistical features error back propagation Levenberg-Marquardt algorithm genetic algorithm |
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