Shengda Economics, Trade and Management College of Zhengzhou, Zhengzhou 451191, China.
Comput Intell Neurosci. 2022 Jul 18;2022:7400797. doi: 10.1155/2022/7400797. eCollection 2022.
In the era of Internet +, modern industry has developed rapidly, the network economy has promoted the great development of the industrial economy, and the traditional industrial economic statistics method has not been suitable for the development needs of modern enterprises. In today's society, it can be described as the era of big data, the use of big data technology for industrial economic statistics is needed for the development of industrial modernization, and it is also a new requirement for industrial economic statistics put forward by social development. With the wide application of Internet of Things, cloud computing, mobile Internet, remote sensing, and geographic information technology in the economic field, precise economic policies have gradually developed and matured. Especially for different industries in the regional economy, according to the big data in the region, the big data mining technology and analysis technology can be used to obtain the development situation and future trend of the industrial economy in a timely and effective manner. Applying big data technology to macrodecision of regional economic information is an effective way to make macrodecision of current economy. Based on this background, this paper proposes a macroeconomic decision-making method for regional industries based on big data technology. Using data mining technology, time series data analysis methods combined with artificial intelligence analysis, the development trend of regional industries is obtained, and then the development trend of the industry is obtained. Development makes macroeconomic decisions. Taking agriculture as an example, the most popular analysis of the price trend of a certain agricultural product provides an effective reference for the development strategy of this agricultural product. The results show that the method proposed in this paper can effectively apply big data technology to the macrodecision-making of regional industrial economy. And it has better promotion significance.
在“互联网+”时代,现代工业迅速发展,网络经济促进了工业经济的大发展,传统的工业经济统计方法已不适应现代企业的发展需要。在当今社会,可以说是大数据时代,利用大数据技术进行工业经济统计,是工业现代化发展的需要,也是社会发展对工业经济统计提出的新要求。随着物联网、云计算、移动互联网、遥感、地理信息技术在经济领域的广泛应用,精准经济政策逐渐发展成熟。特别是对于区域经济中的不同行业,根据该区域的大数据,可以利用大数据挖掘技术和分析技术,及时有效地获取产业经济的发展状况和未来趋势。将大数据技术应用于区域经济信息的宏观决策是实现当前经济宏观决策的有效途径。基于此背景,本文提出了一种基于大数据技术的区域产业宏观决策方法。利用数据挖掘技术,结合人工智能分析的时间序列数据分析方法,得出区域产业的发展趋势,进而得出产业的发展趋势。做出宏观经济决策。以农业为例,对某一农产品价格走势进行最热门的分析,为该农产品的发展战略提供了有效的参考。结果表明,本文提出的方法可以有效地将大数据技术应用于区域产业经济的宏观决策中,具有较好的推广意义。