| 优化的小波神经网在异常检测中的应用研究 |
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| 引用本文： | 李中帅,李洪波,魏卓.优化的小波神经网在异常检测中的应用研究[J].科技信息,2009(31):53-54. |
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| 作者姓名： | 李中帅 李洪波 魏卓 |
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| 作者单位： | 长春工程学院,吉林长春130012 |
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| 摘 要： | 本文首先介绍了遗传算法的基本原理和KDD99数据集,而后运用遗传算法,PSO算法以及QPSO算法分别对小波神经网络进行优化构建各自的模型,最后通过在KDD99数据集上分别进行各个模型的仿真实验,得出QPSO进化算法的效果明显优于另外两种算法。
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| 关 键 词： | QPSO算法 小波神经网络 入侵检测 |
The Research Security Policy on Campus Network |
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| LI Zhong-shuai,LI Hong-bo,WEI Zhuo.The Research Security Policy on Campus Network[J].Science,2009(31):53-54. |
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| Authors: | LI Zhong-shuai LI Hong-bo WEI Zhuo |
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| Affiliation: | (Changchun Institute of Technology,Changchun Jilin,130012,China) |
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| Abstract: | This article introduces the basic principles of genetic algorithms and KDD99 data sets,and then use genetic algorithm,PSO algorithm and the QPSO algorithm were carried out to optimize the wavelet neural network to build their own model,the final data set by KDD99 were all on the simulation model come the effects of QPSO evolutionary algorithm is superior to the other two algorithms. |
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| Keywords: | QPSO algorithm Wavelet Neural Network Intrusion Detection |
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