%0 Journal Article
%T Negative-selection algorithm of mutation search in self space to train detector<br>采用在自己空间变异搜索来训练检测器的阴性选择算法
%A ZHANG Qing-hua
%A QIAN Yu
%A XU Bu-gong
%A GAO Ting-yu
%A XIE Ke-ming
%A <br>张清华
%A 钱宇
%A 胥布工
%A 高廷玉
%A 谢克明
%J 计算机应用
%D 2007
%I 
%X To overcome the defects of the present negative-selection algorithm in fault detection, based on self-space, abnormity detection algorithm was improved. It trained detector according to the mutation mechanism of genetic algorithm and the principle of vaccine inoculation and clone selection. The simulation shows that under the precondition that the improved algorithm can generally cover the self-space, its computing complexity dramatically declines while its fault detecting efficiency greatly improves.
%K mutation search
%K negative-selection algorithm
%K fault detection<br>变异搜索
%K 阴性选择算法
%K 故障检测
%K 空间范围
%K 变异搜索
%K 训练
%K 检测器
%K 阴性选择算法
%K detector
%K train
%K space
%K self
%K search
%K mutation
%K 有效性
%K 异常检测
%K 计算复杂度
%K 前提
%K 覆盖
%K 仿真
%K 新改进
%K 能检测
%K 原理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512A8A0BF7816503AB8&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=821800203AD09E7B&eid=E4EC39E73004B593&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8