基于机器学习的智能文档编制技术研究  

作　　者：费建章 王甲甲 李可 

机构地区：[1]安徽继远软件有限公司,安徽合肥230088

出　　处：《科技创新与应用》2020年第34期133-134,共2页Technology Innovation and Application

摘　　要：文章针对电力企业文档编制存在效率较低、准确性不足等问题,从不同角度深入分析了文档自动编制技术研究的必要性和重要性,结合电力系统的特点和公司经营需求,应用人工智能技术,实现电力文档的自动编制,不仅能减少重复性工作,提升公司的经营管理效率,也能面向社会推广,具有重大的经济和社会意义。Aiming at the problems of low efficiency and lack of accuracy in document compilation in electric power enterprises,this paper deeply analyzes the necessity and importance of automatic document compilation technology from different angles.Based on the characteristics of power system and the business needs of the company,the application of artificial intelligence technology can realize the automatic compilation of electric power documents,which can not only reduce repetitive work and improve the management efficiency of the company,but will also be popularized to the society.It is of great economic and social significance.

关 键 词：电力企业 机器学习 人工智能 文档编制 

分 类 号：U231[交通运输工程—道路与铁道工程]