人工智能技术在优化网络信息模式中的应用  

Application of Artificial Intelligence Technology in Optimizing Network Information Pattern

作　　者：康富林 KANG Fulin(Dingxi Vocational and Technical College,Lintao Gansu 730500,China)

机构地区：[1]定西职业技术学院,甘肃临洮730500

出　　处：《信息与电脑》2024年第7期25-27,共3页Information & Computer

摘　　要：本文针对网络信息模式优化问题,提出了基于人工智能技术的解决方案。首先,对网络数据进行智能化收集和预处理,然后利用深度学习、自然语言处理等技术对网络信息进行深入分析,识别异常和优化机会,最后通过决策支持和自动化执行实现网络信息模式的优化。实验结果表明,该方法能够有效提升网络性能、增强网络安全性,为用户提供更好的网络体验。This article proposes a solution based on artificial intelligence technology for optimizing network information patterns.Firstly,intelligent collection and preprocessing of network data are carried out,followed by in-depth analysis of network information using technologies such as deep learning and natural language processing to identify anomalies and optimization opportunities.Finally,optimization of network information patterns is achieved through decision support and automated execution.The experimental results show that this method can effectively improve network performance,enhance network security,and provide users with a better network experience.

关 键 词：人工智能技术 网络信息模式 自然语言处理 决策支持 

分 类 号：TN929.5[电子电信—通信与信息系统]