兵工自动化2025，Vol.44Issue(10)：16-20,5.DOI:10.7690/bgzdh.2025.10.004
基于深度学习的电子发票异常行为检测模型
Abnormal Behavior Detection Model of Electronic Invoice Based on Deep Learning
王岩 1黄莹 1郭威1
作者信息
- 1. 海南电网有限责任公司信息通信分公司,海口 570203
- 折叠
摘要
Abstract
In view of the characteristics that the abnormal behaviors generated in the circulation of electronic invoices tend to be diversified and complicated,this paper proposes an electronic invoice abnormal behavior detection model based on deep learning.Some sensitive information in user consumption is processed and clustered to establish a data set of abnormal behavior characteristics.A deep network learning enterprise consumption data combined with bilinear projection and attention mechanism is proposed,and an attention-enhanced bilinear layer(BL)model is introduced into the network to improve the training efficiency of the model.The validity of the proposed detection model is verified by the data of enterprise invoicing behavior provided by a financial company.The results show that the proposed model has the highest performance,and the average recognition accuracy is 93.25%;compared with ResNet,VGG and LSTM models,the accuracy is improved by 6.6%,6.42%and 5.27%,respectively.关键词
财务/电子发票/深度学习/异常分析/双线性投影/注意机制Key words
finance/electronic invoice/deep learning/anomaly analysis/bilinear projection/attention mechanism分类
信息技术与安全科学引用本文复制引用
王岩,黄莹,郭威..基于深度学习的电子发票异常行为检测模型[J].兵工自动化,2025,44(10):16-20,5.
