| 基于模糊神经网络的网络业务分类研究 |
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| 引用本文： | 王兆霞,陈增强,袁著祉. 基于模糊神经网络的网络业务分类研究[J]. 计算机工程与应用, 2004, 40(22): 3-5 |
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| 作者姓名： | 王兆霞 陈增强 袁著祉 |
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| 作者单位： | 南开大学自动化系,天津,300071;南开大学自动化系,天津,300071;南开大学自动化系,天津,300071 |
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| 基金项目： | 国家自然科学基金(编号:60374037)资助项目 |
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| 摘 要： | 该文利用神经网络的自学习能力和模糊逻辑的动态性和及时性等特点,将模糊逻辑和神经网络有机地结合起来,构造出了四层模糊神经网络,并用训练神经网络的相应学习算法训练网络,将该模型用于网络业务源特征提取与分类的研究中,并与单纯的神经网络算法相比较。计算机仿真结果表明,模糊神经网络方法比神经网络算法更优越,该文的研究结果为解决网络业务源特征提取与分类奠定了基础。
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| 关 键 词： | 模糊神经网络 BP算法 网络业务 特征提取与分类 |
| 文章编号： | 1002-8331-(2004)22-0003-03 |
| 修稿时间： | 2004-04-01 |
The Study of Classifying Network Traffic Based on Fuzzy Neural Networks |
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| Wang Zhaoxia Chen Zengqiang Yuan Zhuzhi. The Study of Classifying Network Traffic Based on Fuzzy Neural Networks[J]. Computer Engineering and Applications, 2004, 40(22): 3-5 |
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| Authors: | Wang Zhaoxia Chen Zengqiang Yuan Zhuzhi |
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| Abstract: | This paper addresses a four-layer fuzzy neural network system(FNN),which utilizes both the linguistic,hu-man-like reasoning of fuzzy systems and the powerful computing ability of neural networks(NN).The FNN is trained by the Back-propagation algorithms ,which is used to train the NN,and used to study the feature extraction of the network traffic and classifying.Compared with the sole NN,the simulation demonstrates that the FNN not only can classify the network traffic,but also is superior to NN.This paper supplies the fundamental research of classifying network traffic. |
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| Keywords: | Fuzzy Neural Network Back-Propagation algorithms network traffic feature extraction and classifying |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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