Application of Machine Learning and Artificial Intelligence Technology in Mobile Communication Network

The social and economic development is rapid, and the technological level is constantly improving. The demand for information services has developed into multiple aspects. This paper describes various basic principles, analysis methods, and results of data analysis through testing methods to distinguish and compare the advantages and disadvantages of machine learning methods in mobile networks, and provide guidelines for appropriate analysis. The main content of this paper includes the introduction of the latest technology of mobile communication network and the development of machine learning and artificial intelligence technology as well as the importance of the application of machine learning and artificial intelligence technology in mobile communication network. The data sources and analysis methods, model development process, model performance analysis process, and the results of analyzing the data are comprehensively described in each stage of multiple analysis. Experiments have verified that the oil painting algorithm in this paper is more stable in network distribution, and the accuracy of face recognition is as high as 98%.