| 基于小波神经网络的入侵检测系统 |
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| 引用本文： | 李昂,闵林. 基于小波神经网络的入侵检测系统[J]. 韶关学院学报, 2007, 28(3): 53-56,157 |
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| 作者姓名： | 李昂 闵林 |
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| 作者单位： | 河南大学,计算机与信息工程学院,河南,开封,475001 |
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| 摘 要： | 利用小波变换在信号处理方面的时频分析能力和神经网络对任意非线性函数的逼近能力，提出了一种基于小波神经网络的入侵检测方法．用小波变换代替普通神经网络的激励函数，能有效地提高网络样本训练的效率和速度，在仿真结果中体现出有很好的收敛速度和学习能力，比较适合用于入侵检测系统中．
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| 关 键 词： | 入侵检测 收敛算法 径向基函数 小波神经网络 |
| 文章编号： | 1007-5348（2007）03-0053-04 |
| 修稿时间： | 2006-12-16 |
A wavelet neural network-based intrusion detection system |
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| LI Ang,MIN Lin. A wavelet neural network-based intrusion detection system[J]. Journal of Shaoguan University(Social Science Edition), 2007, 28(3): 53-56,157 |
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| Authors: | LI Ang MIN Lin |
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| Abstract: | Utilizing the ability of time-frequency analysis of the wavelet transform in signal processing and approximation of the neural networks towards any nonlinear function, a method of intrusion detection based on wavelet neural net-work is proposed. Replacing ordinary neural network activation functions by wavelet transform, the method can effectively improve the efficiency and speed of the network training samples. In the simulation, it reflects a good convergence and learning ability. This method is proved to be suitalbe for intrusion detection system. |
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| Keywords: | intrusion detection convergence radial basis function a wavelet neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
