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大数据时代人工智能在计算机网络技术中的应用

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在大数据时代,人工智能技术在计算机网络中扮演着越来越重要的角色.本文探讨了人工智能在网络优化与调度、网络入侵检测和网络数据融合中的应用.通过智能算法,如机器学习和遗传算法,优化了路由策略,提高了网络效率.同时,利用深度学习等技术增强了入侵检测的准确性,加强了网络安全.此外,通过大数据技术和人工智能算法对多源网络数据进行整合和分析,实现数据的实时融合和有效利用,以期促进人工智能技术在计算机网络领域的进一步研究和应用,提高网络安全和性能.
Application of Artificial Intelligence in Computer Network Technology in the Era of Big Data
In the era of big data,artificial intelligence technology is playing an increasingly important role in computer networks.This article explores the application of artificial intelligence in network optimization and scheduling,network intrusion detection,and network data fusion.The routing strategy has been optimized through intelligent algorithms such as machine learning and genetic algorithms,improving network efficiency.At the same time,the use of deep learning and other technologies has enhanced the accuracy of intrusion detection and strengthened network security.In addition,by integrating and analyzing multi-source network data through big data technology and artificial intelligence algorithms,real-time fusion and effective utilization of data can be achieved,in order to promote further research and application of artificial intelligence technology in the field of computer networks,improve network security and performance.

big dataartificial intelligencenetwork technology

宋新乐、宋文文

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贵州工贸职业学院,贵州威宁 531000

江西应用科技学院,江西南昌 330100

大数据 人工智能 计算机网络技术

2024

软件
中国电子学会 天津电子学会

软件

影响因子:1.51
ISSN:1003-6970
年,卷(期):2024.45(7)