火力与指挥控制2024，Vol.49Issue(4)：136-141,6.DOI:10.3969/j.issn.1002-0640.2024.04.021
融合非核心词EDA和SSMix的雷达故障文本分类方法
Radar Fault Text Classification Method for the Fusion of Non-core Words of EDA and SSMix
摘要
Abstract
The intelligent classification of radar equipment fault text is carried out and it is helpful to improve the support efficiency of radar equipment.To solve the problems of highly specialized radar fault text with small amount of samples,and imbalanced classes,the non-core word EDA is used to increase the amount of the text while keeping the key information unchanged.As the diversity of new samples generated by the non-core word EDA is not enough,the SSMix model is added to augment the data between classes,the text diversity is improved by inputting the non-linear cross fusion of the text.The experiments show that the accuracy of the proposed method is greatly improved compared with the present classical baseline classification methods and typical data augmentation classification methods.关键词
雷达故障文本/非核心词EDA/SSMix/文本数据增强/分类Key words
radar fault text/non-core word EDA/SSMix/text data augmentation/classification分类
信息技术与安全科学引用本文复制引用
谢雨希,杨江平,孙知建,胡欣..融合非核心词EDA和SSMix的雷达故障文本分类方法[J].火力与指挥控制,2024,49(4):136-141,6.基金项目
军内科研基金资助项目(××××41721) （××××41721）
