Artificial Intelligence in Communication Network Management

DOI

10.2991/978-94-6463-518-8_31How to use a DOI?

Keywords

Artificial intelligence; Communication network management; Application

Abstract

This paper is devoted to discussing the application of artificial intelligence in the management of communication networks. It analyzes the unique advantages and difficulties encountered in the development of artificial intelligence and the effective application of artificial intelligence in communication network management. One of the inevitable trends of the development of contemporary science and technology is the comprehensive popularization of artificial intelligence, artificial intelligence technology has penetrated everyone’s life, bringing a lot of convenience and changes to human life. Its unique advantages can effectively alleviate the lack of information processing capacity at this stage, improve work efficiency and reduce errors. But the lack of unified management standards and innovation ability is an important reason for the slow development of artificial intelligence. The development of artificial intelligence is a process of both opportunities and challenges. We need to enjoy the convenience and changes brought by AI while also focusing on dealing with the challenges and problems brought by AI. The application of artificial intelligence in communication network management can make up for the loopholes and deficiencies in the communication network, provide better services for human beings, and promote the development of society in a better direction.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jinghua Wang
PY  - 2024
DA  - 2024/09/28
TI  - Artificial Intelligence in Communication Network Management
BT  - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
PB  - Atlantis Press
SP  - 312
EP  - 318
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-518-8_31
DO  - 10.2991/978-94-6463-518-8_31
ID  - Wang2024
ER  -