%0 Journal Article %T 基于深度学习的神经网络技术在信息通信领域的应用研究
Application Research of Neural Network Technology Based on Deep Learning in the Field of Information Communication %A 李胜民 %A 王宇涛 %A 杨媛媛 %J Artificial Intelligence and Robotics Research %P 463-467 %@ 2326-3423 %D 2022 %I Hans Publishing %R 10.12677/AIRR.2022.114047 %X 深度学习神经网络技术是人工智能技术的前沿领域,该技术的应用在政治学、国民经济、军队、社区乃至人们本身都产生深远的影响,在信息通信领域的应用对提升部队战斗力也有着重要的意义。本文介绍了深度学习神经网络技术以及在军事领域的应用,概述了该技术在信息通信领域的应用,分析发现通过该技术的应用不仅可以提升通信抗干扰能力、提升通信质量,还能在网络故障预警中提升排障效率,该技术在信息通信领域的研究具有重要意义。
Deep learning neural network technology is the frontier field of artificial intelligence technology. The application of this technology has a profound impact on political science, national economy, army, community and even people themselves. The application in the field of information communication is also of great significance to improve the combat effectiveness of the army. This paper introduces the deep learning neural network technology and its application in the military field, and summarizes the application of this technology in the field of information and communication. It is found that the application of this technology can not only improve the communication anti-interference ability and communication quality, but also improve the troubleshooting efficiency in network fault warning. This technology is of great significance in the field of information and communication research. %K 深度学习,神经网络,信息通信,军事领域
Deep Learning %K Neural Network %K Information Communication %K Military Field %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=58260