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基于神经网络算法的感知问题定位方法

简晨 苟浩淞

通信与信息技术Issue(5):18-21,4.
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通信与信息技术Issue(5):18-21,4.

基于神经网络算法的感知问题定位方法

Perception problem localization method based on neural network algorithm

简晨 1苟浩淞1

作者信息

  • 1. 中国移动(成都)产业研究院,四川 成都 610213
  • 折叠

摘要

Abstract

With the large-scale deployment of 4G/5G networks and the increasing demands of users for network service quality,tra-ditional network perception problem localization methods based on human experience face severe challenges in terms of accuracy,effi-ciency,and comprehensiveness.This paper proposes a user-perceived problem localization method based on BP neural networks.By con-structing a multi-layer neural network mapping model and combining Euclidean distance algorithm and correlation analysis,it achieves accurate localization and root cause analysis of problematic cells.This method includes three core steps:locating the complained cell,constructing a neural profile of the cell's network problem,and cleaning and prioritizing network problem data.This method has signifi-cantly improved problem handling efficiency and customer satisfaction in Sichuan,realizing a shift from"manual investigation"to"intel-ligent diagnosis,"and possesses significant engineering application value.

关键词

5G建设/BP神经网络/问题定位/网络优化

Key words

5G/BP neural network/Problem localization/Network optimization

分类

信息技术与安全科学

引用本文复制引用

简晨,苟浩淞..基于神经网络算法的感知问题定位方法[J].通信与信息技术,2026,(5):18-21,4.

通信与信息技术

1672-0164

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