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方义, 齐鹤, 陆鹏, 张华, 杨赓. 基于人工智能技术的铁路电子公文数据智能化分析及关联方法研究[J]. 铁路计算机应用, 2024, 33(1): 67-71. DOI: 10.3969/j.issn.1005-8451.2024.01.11
引用本文: 方义, 齐鹤, 陆鹏, 张华, 杨赓. 基于人工智能技术的铁路电子公文数据智能化分析及关联方法研究[J]. 铁路计算机应用, 2024, 33(1): 67-71. DOI: 10.3969/j.issn.1005-8451.2024.01.11
FANG Yi, QI He, LU Peng, ZHANG Hua, YANG Geng. Intelligent analysis and correlation method of railway electronic document data based on artificial intelligence technology[J]. Railway Computer Application, 2024, 33(1): 67-71. DOI: 10.3969/j.issn.1005-8451.2024.01.11
Citation: FANG Yi, QI He, LU Peng, ZHANG Hua, YANG Geng. Intelligent analysis and correlation method of railway electronic document data based on artificial intelligence technology[J]. Railway Computer Application, 2024, 33(1): 67-71. DOI: 10.3969/j.issn.1005-8451.2024.01.11

基于人工智能技术的铁路电子公文数据智能化分析及关联方法研究

Intelligent analysis and correlation method of railway electronic document data based on artificial intelligence technology

  • 摘要: 利用大数据、人工智能、超大规模预训练模型等技术,研究铁路行业复杂场景下电子公文数据智能化分析及关联方法。介绍电子公文智能化提升总体架构、关键技术,为铁路电子公文数据智能化分析的远期场景提供方法性探索,从而充分挖掘铁路电子公文资源价值,提升公文办理质量和效率。

     

    Abstract: This paper used technologies such as big data, artificial intelligence, and ultra large scale pre training models to study the intelligent analysis and correlation methods of electronic document data in complex scenarios of the railway industry. The paper introduced the overall architecture and key technologies for improving the intelligence of electronic documents, which provided methodological exploration for the long-term scenario of intelligent analysis of railway electronic document data, thereby could fully tap into the value of railway electronic document resources, and improve the quality and efficiency of document processing.

     

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