计算机与数字工程2019，Vol.47Issue(10)：2602-2606,5.DOI:10.3969/j.issn.1672-9722.2019.10.043
基于改进CBR的电力通信现场运维辅助诊断研究∗
Research on Auxiliary Diagnosis of Field Operation and Maintenance of Electric Power Communication Based on Improved CBR
摘要
Abstract
According to the need of electric power communication on-site operation and maintenance management,based on case-based reasoning(CBR)research results,the optimization method is proposed to improve the retrieval efficiency of CBR using BP neural network to realize problem diagnosis self-learning and self-growth,effectively avoid the traditional CBR algorithm that has the similar matching degree is not high,convergence slow and other issues. The simulation results show that the CBR retrieval algorithm based on BP neural network has high recall and precision,and it can provide more reliable auxiliary diagnosis cases for field operation and maintenance personnel,and has strong practicability.关键词
CBR/BP神经网络/案例检索Key words
CBR/BP neural network/case retrieval分类
信息技术与安全科学引用本文复制引用
邓伟..基于改进CBR的电力通信现场运维辅助诊断研究∗[J].计算机与数字工程,2019,47(10):2602-2606,5.基金项目
国家电网公司科技项目"面向电力通信现场的智能运维技术研究与示范应用"(编号:SGTYHT/16-JS-198)资助. （编号:SGTYHT/16-JS-198）
