舰船电子工程2023，Vol.43Issue(12)：109-113,5.DOI:10.3969/j.issn.1672-9730.2023.12.022
一种基于组合神经网络的测量数据质量分析方法
A Measurement Data Quality Analysis Method Based on Combination Neural Network
摘要
Abstract
The instability of measurement data when lightning testing equipment passes through shortcut points is one of the important issues that troubles data post processing.A SOM-PNN combination neural network is proposed,which stores the changes in the measurement data of the device in the neural network by"learning"the historical data of the device.In practical tasks,the network is used to analyze the quality of shortcut point measurement data,and corresponding weights or deletions are made based on the results,thereby improving the accuracy of trajectory calculation.The effectiveness of this method is verified using simulation da-ta.关键词
雷测/捷径点/历史数据/SOM-PNN/数据质量分析Key words
thunder survey/short cut points/historical data/SOM-PNN/data quality analysis分类
信息技术与安全科学引用本文复制引用
王玮..一种基于组合神经网络的测量数据质量分析方法[J].舰船电子工程,2023,43(12):109-113,5.基金项目
国家自然科学基金项目(编号:6170021755)资助. （编号:6170021755）
