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METHOD FOR CONSTRUCTING NETWORK FAULT HANDLING MODEL, FAULT HANDLING METHOD AND SYSTEM

机译:网络故障处理模型的构建方法,故障处理方法和系统

摘要

The present invention relates to the technical field of communications. Disclosed are a method for constructing a network fault handling model, a fault handling method and a system. The method for constructing a network fault handling model comprises: obtaining or establishing a deep neural network model of a source domain on the basis of a sample set of the source domain in a network; establishing a sample set of a target domain in the network, the sample sets of the target domain and of the source domain having an intersection, and both including quantified alarm data, fault data and configuration data; and if the coincidence rate of the sample sets of the target domain and of the source domain reaches a set threshold, constructing a network fault handling model of the target domain on the basis of the deep neural network model of the source domain. In the present invention, the network fault handling model of the target domain is obtained by means of cross-domain transfer learning on the basis of the deep neural network model of the source domain in an optical network.
机译:本发明涉及通信技术领域。公开了一种构建网络故障处理模型的方法,故障处理方法和系统。一种网络故障处理模型的构建方法,包括:基于网络中源域的样本集,获取或建立源域的深度神经网络模型;建立网络中目标域的样本集,所述目标域和源域的样本集具有交集,两者均包括量化的告警数据,故障数据和配置数据;如果目标域和源域的样本集的重合率达到设定的阈值,则基于源域的深度神经网络模型构造目标域的网络故障处理模型。在本发明中,基于光网络中源域的深度神经网络模型,通过跨域转移学习获得目标域的网络故障处理模型。

著录项

  • 公开/公告号WO2020168676A1

    专利类型

  • 公开/公告日2020-08-27

    原文格式PDF

  • 申请/专利号WO2019CN96623

  • 发明设计人 KUANG LIWEI;

    申请日2019-07-19

  • 分类号G06K9/62;H04L12/24;

  • 国家 WO

  • 入库时间 2022-08-21 11:09:45

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