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。
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.
出处
《科技信息》
2009年第31期53-54,共2页
Science & Technology Information
关键词
QPSO算法
小波神经网络
入侵检测
QPSO algorithm
Wavelet Neural Network
Intrusion Detection
