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作 者:成波 CHENG Bo(Information Construction and Management Center,Inner Mongolia University of Technology,Hohhot 010051)
机构地区:[1]内蒙古工业大学信息化建设与管理中心,呼和浩特010051
出 处:《内蒙古工业大学学报(自然科学版)》2018年第1期71-74,共4页Journal of Inner Mongolia University of Technology:Natural Science Edition
摘 要:针对传统网络故障诊断方法难以胜任复杂网络故障诊断的现状,综合应用自学习机制中的知识结构、知识获取等方法,设计并实现了一个基于自学习机制的校园网络故障诊断系统。该系统通过自学习机制不断扩充和完善了现有的知识库,弥补了传统的专家系统在故障诊断、知识获取及自学习能力等方面的不足,很大程度上降低了网络故障诊断的专业性和难度。通过实际测试结果分析,得出了自学习机制在校园网络故障诊断方面的优势,从而提高了校园网络故障诊断的及时性、准确性和高效性。The traditional network fault diagnosis method is difficult to be competent for complex network fault diagnosis,knowledge structure in self-learning mechanism of comprehensive application,knowledge acquisition and Methods of knowledge acquisition,a campus network fault diagnosis system based on self-learning mechanism is designed and implemented.The system expands and perfects the existing knowledge base by self-learning mechanism,Make up for the deficiency of knowledge acquisition and self-learning ability in fault diagnosis of the traditional expert system,to a great extent,it reduces the specialization and difficulty of network fault diagnosis.Analysis of the actual test results,the advantages of self learning mechanism in the fault diagnosis of campus network are obtained.Therefore,the timeliness,accuracy and efficiency of fault diagnosis are improved.
分 类 号:TP306.3[自动化与计算机技术—计算机系统结构]
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