基于SARIMA模型的高校人工智能就业趋势研究  

Research on the Employment Trend of AI in Colleges and Universities Based on SARIMA Model

作　　者：王玉萍[1] 冯青文 WANG Yuping;FENG Qingwen(College of Information Engineering,Zhengzhou University of Science and Technology,Zhengzhou Henan 450064,China)

机构地区：[1]郑州科技学院信息工程学院,河南郑州450064

出　　处：《信息与电脑》2023年第3期99-101,共3页Information & Computer

基　　金：河南省高等学校重点科研项目(项目编号:22B520045)。

摘　　要：文章利用大数据相关技术,采用Nagao算法、单尺度Retinex(Single Scale Retinex,SSR)算法、季节性差分自回归滑动平均(Seasonal Autoregressive Integrated Moving Average,SARIMA)模型,对人工智能专业的就业趋势和供需关系进行分析和预测。研究表明,人工智能专业的就业形势较为乐观,未来几年将持续保持高速增长。同时,及时掌握人工智能专业的就业趋势和供需关系,提高毕业生的实践能力,加强对人工智能专业毕业生就业市场的研究,并深入挖掘人工智能技术的应用价值,以期为社会提供更多的高质量人工智能人才。This paper analyzes and forecasts the employment trend and supply-demand relationship of AI major by using big data-related technology,Nagao algorithm,Single Scale Retinex(SSR)algorithm and Seasonal Autoregressive Integrated Moving Average(SARIMA)model.The research shows that the employment situation of artificial intelligence major is optimistic and will continue to maintain high growth in the next few years.At the same time,timely grasp the employment trend and supply and demand relationship of artificial intelligence major,enhance the practical ability of graduates,strengthen the research on the employment market of artificial intelligence major graduates,and deeply explore the application value of artificial intelligence technology,so as to provide more high-quality artificial intelligence talents for the society.

关 键 词：Nagao算法 季节性差分自回归滑动平均(SARIMA)模型 单尺度Retinex(SSR)算法 人工智能 就业趋势 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]