A multilayer fault - tolerance neural networks fault diagnosis baed on rough sets method is presented after we summarize rough neural networks in existence 在总结现有粗糙神经网络研究状况的基础上，提出了一种基于粗糙集的多层容错神经网络故障诊断方法。
It introduces the frame of nms and discusses the implementary methods of monitoring network fault and analyzing performance " s trend detailedly 文中详细地介绍了网络管理系统的体系结构，并进一步论述了网络管理中极为重要的网络故障监控与性能趋势分析的实现方法。
Analyzing function requirements of portable network fault test instrument , it affirms that the task of this thesis is providing hci information to the instrument with gui 分析便携式网络故障测试仪的功能需求,确定课题研究的目标是用图形用户界面为其提供人机交互信息。
Network fault diagnosis is base on the state of network devices when the faults occurred , then by analyzing and judging these information to find the cause of the faults 网络故障诊断依赖于当故障发生时各种网络设备的状态信息，通过分析和判断这些信息去发现导致故障的原因。
At last this algorithm based on rough set , is implemented to remove inconsistent or erroneous mib data , and accordingly concise information of network faults and relative mib data is reserved 最后我们用上述粗集的约简算法去除mib变量中不一致的和错误的数据，并得到与网络故障相关的mib变量。
In our task , we will combine rough set theory and network fault diagnosis . we can apply rough set algorithm in mib data to find the relationship between mib and network faults 本文把粗集理论与网络故障诊断结合在一起，把粗集理论的算法应用到mib变量中，以挖掘出mib变量和网络故障之间的潜在关系。
Directing towards the requirement of fault management in the campus networks , the paper firstly researches into such technologies as snmp , wbm , two primary industry standards and the network fault management 本文然后对snmp协议及wbm的实现技术和标准进行了探讨，在校园网网络管理中性能分析的基础上进一步提出了网络故障管理的具体构想。
Based on gsm / gprs wireless network fault diagnosis system for intelligent construction machinery group , this paper introduces the architecture of the system and puts forward the practical scheme 摘要针对智能化工程机械机群构造了基于gsm / gprs无线网络的故障诊断系统，重点介绍了其中的远程故障诊断中心系统的结构组成，并提出了具体的实现方案。
Directing towards the requirement of fault management in the campus networks , the paper firstly researches into such technologies as snmp , wbm , two primary industry standards and the network fault management <中文摘要> =摘要本文首先针对校园网网络管理中故障管理的需要，对snmp协议、 wbm的实现技术和标准，及网络故障管理的方法进行了研究。
Based on the existing neural network fault diagnosis methods , a new on - line fault diagnosis method using the recurrent neural network with deviation error units is presented , the fault samples and coding are designed 在现有神经网络故障诊断方法基础上，提出了一种基于带有偏差单元递归神经网络的在线故障诊断方法，设计了相应的故障样本和故障编码。
