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基于BP神经网络的高校用户网络故障急诊系统 被引量:1

Network emergency system for university users based on BP neural network
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摘要 本文介绍的网络故障急诊系统是以BP神经网络为核心的小程序系统,无需安装,界面友好,用户根据提示直接选择故障现状,系统经过对故障现状的特征提取,通过BP神经网络进行学习和输出,给出故障原因和解决办法。 The network fault emergency system introduced in this paper is a small program system with BP neural network as the core.It does not need to be installed and has friendly interface.The user selects the fault status directly according to the hint.The system is extracted by the characteristics of the fault status,learning and exporting through the BP neural network,and giving the reasons for the fault and the solution.
作者 高慧 浩庆波 Gao Hui;Hao Qingbo(Network information center of Qufu Normal University,Rizhao Shandong,276800;Network information center of Qufu Normal University,Jining Shandong,273100)
出处 《电子测试》 2018年第17期50-51,共2页 Electronic Test
关键词 故障诊断 BP神经网络 fault diagnosis BP neural network
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  • 1李义宝,张学勇,马建国,汪力君.基于BP神经网络的改进算法研究[J].合肥工业大学学报(自然科学版),2005,28(6):668-671. 被引量:24
  • 2周小平,晏蒲柳,吴静.基于支持向量机的网络故障在线诊断方法研究[J].武汉大学学报(工学版),2006,39(3):102-106. 被引量:4
  • 3赵冬梅,刘海峰,刘晨光.基于BP神经网络的信息安全风险评估[J].计算机工程与应用,2007,43(1):139-141. 被引量:56
  • 4D Gavalas, D Greenwood, M Ghanbari. Advanced network monitoring applications based on mobile/intelligent agent tech- nology[J]. Computer Communications, 2002, 34 (23): 720- 730.
  • 5Wang Shengwei, Jiang Zhiming. Valve fault detection and diagnosis based on CMAC neural networks[J]. Energy and Buildings, 2004, 36:599-610.
  • 6Shang Zhixin, Zhou Yu, Ye Qingwei, et al. Fault diagnosis of computer network based on rough sets and BP neural network[C]. 7th International Conference on Wireless Communications, Networking and Mobile, 2012.
  • 7Awadallah M M. Application of AI tools in fault diagnosis of electrical machines and drives-an overview [J]. IEEE Transactions on Energy Conversion, 2003, 18: 245-251.
  • 8Castro R G. Miranda V. Knowledge discovery in neural networks with application to transformer failure diagnosis [J]. IEEE Transactions on Power Systems, 2005, 20(1): 717-724.
  • 9Pawlak Z. Rough set theory and its application to data analysis[J]. Cybernetics and Systems, 1998, 29(7):661-668.
  • 10汪蔚,王荣杰,胡清.基于PCA和神经网络的故障诊断技术[J].计算机工程,2008,34(7):184-185. 被引量:11

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