摘要
基于对工业信息化的了解,阐述数据挖掘技术在工业信息化中的应用方法,并进一步对K均值聚类算法、BP神经网络等应用技术进行深入分析,研究其在工业智能、安全监测和数据统筹等方面的应用,切实提高工业信息化建设质量和水平,为工业现代化发展奠定良好基础。
Based on the understanding of industrial informatization,this paper expounds the application methods of data mining technology in industrial informatization,and further analyzes the application technologies such as K-means clustering algorithm and BP neural network to deepen its application in industrial intelligence,safety monitoring and data co-ordination to effectively improve the quality and level of industrial informatization construction and lay a foundation for the development of industrial modernization to set a good foundation.
作者
刘戈
Liu Ge(Shenzhen Tobacco Industry Co.,Ltd.,Shenzhen Guangdong 518109)
出处
《现代工业经济和信息化》
2021年第4期91-92,共2页
Modern Industrial Economy and Informationization
关键词
数据挖掘技术
工业生产
信息化建设
data mining technology
industrial production
information construction
