首页 | 本学科首页   官方微博 | 高级检索  
     

基于多变量决策树的网络故障诊断方法研究
引用本文:侯贵宾. 基于多变量决策树的网络故障诊断方法研究[J]. 港口科技, 2010, 0(5): 27-30
作者姓名:侯贵宾
作者单位:河北港口集团有限公司信息管理部,河北,石家庄,050019
摘    要:在网络故障诊断系统中,可以用粗糙集理论约简网络信息M IB变量,从而求出最有利于分类的变量集合。提出了首先约简信息表,并构造多变量决策树,提取相应的决策规则,判断网络故障类型的方法。决策树构造方法简单,提取出来的规则以决策树形式表示,规则易于理解,网络故障诊断效率较高。

关 键 词:计算机  粗糙集  网络故障  诊断  多变量决策树

An Research on the Networks Fault Diagnosis Methods Based on the Multi-Varied Decision Tree
Hou Guibin. An Research on the Networks Fault Diagnosis Methods Based on the Multi-Varied Decision Tree[J]. Science & Technology of Ports, 2010, 0(5): 27-30
Authors:Hou Guibin
Affiliation:Hou Guibin(Hebei Port Group Co.,Ltd.,Hebei Shijiazhuang 050019)
Abstract:In the networks diagnosis system,the reduced networks information MIB varied quantity of rough set theory can be used,so as to get the varied set which is most advantageous to classifying.This paper puts forward the reduced information table,so as to form multi-varied quantity decision tree,takes relative decision rule,and judge the networks faults type.The decision tree is simple for its forming method.The rules fetched shows as decision tree,which is easy to understand.The diagnosis rate of the networks f...
Keywords:computer rough set networks fault diagnosis multi-varied quantity decision tree  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号