An Analysis Method for Multi-source Cigarette Audit Data Based on Improved Long-Short Term Memory

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更新时间：2022-12-27

- An Analysis Method for Multi-source Cigarette Audit Data Based on Improved Long-Short Term Memory
- Software Guide Vol. 21, Issue 11, Pages: 1-6(2022)
- 作者机构：
  
  1.中国烟草总公司湖北省公司
  2.武汉楚烟信息技术有限公司,湖北武汉 430030
  3.武汉大学计算机学院,湖北武汉 430070
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.212483
  CLC：
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王树明,吴时清,余菁等.基于改进LSTM的多源时序卷烟审计数据分析方法[J].软件导刊,2022,21(11):1-6.

WANG Shu-ming,WU Shi-qing,YU Jing,et al.An Analysis Method for Multi-source Cigarette Audit Data Based on Improved Long-Short Term Memory[J].Software Guide,2022,21(11):1-6.
王树明,吴时清,余菁等.基于改进LSTM的多源时序卷烟审计数据分析方法[J].软件导刊,2022,21(11):1-6. DOI： 10.11907/rjdk.212483.

WANG Shu-ming,WU Shi-qing,YU Jing,et al.An Analysis Method for Multi-source Cigarette Audit Data Based on Improved Long-Short Term Memory[J].Software Guide,2022,21(11):1-6. DOI： 10.11907/rjdk.212483.

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