%0 Journal Article
%T Intrusion detection based on neural network ensemble<br>基于神经网络集成的入侵检测研究
%A CHAI Chen-yang
%A SUN Xing-ming
%A WU Zhi-bin
%A ZHI Yun-sheng
%A <br>柴晨阳
%A 孙星明
%A 吴志斌
%A 智云生
%J 计算机应用
%D 2007
%I 
%X This paper put forward a new intrusion detection method based on neural network ensemble. First, we trained neural network by using different methods to deal with different data, to elevate the ability of detecting small intrusion and prevent neural network degeneration during training; then, the improved Genetic Algorithm was used to optimize neural network ensemble weight. Theory and experiment show that this method has better ability in intrusion detection.
%K intrusion detection
%K generation algorithm
%K neural network ensemble<br>入侵检测
%K 遗传算法
%K 神经网络集成
%K 神经网络
%K 网络集成
%K 入侵
%K 检测研究
%K neural
%K network
%K ensemble
%K based
%K detection
%K 检测方法
%K 实验
%K 理论
%K 整体性能
%K 系统
%K 集成网络
%K 算法优化
%K 遗传
%K 改进
%K 利用
%K 退化现象
%K 网络训练
%K 检测能力
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD274305122D2BDC52E8AA8B1F&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=196264D95F295743&eid=A268BE393F034483&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7