人工智能技术在网络故障预测与自动化恢复系统中的应用  

Application of artificial intelligence technology in network fault prediction and automatic recovery system

作　　者：张宇 ZHANG Yu(Fujian Business School,Fuzhou 350000,China)

机构地区：[1]福建商贸学校,福州350000

出　　处：《计算机应用文摘》2024年第11期119-121,共3页Chinese Journal of Computer Application

摘　　要：为有效提升网络系统的稳定性与可靠性,文章引入了人工智能技术,旨在提高故障预测的精准度并实现网络故障的自动化恢复。其中,首先对系统需求进行了分析;其次探讨了DBN模型的构建;接着提出了基于人工智能的可靠性分析与自动化恢复模型;最终设计并实现了故障预测与自动化恢复系统。该系统可显著提升网络故障预测的准确性与自动化恢复的效率,从而为相关领域的实践提供参考与借鉴。To effectively improve the stability and reliability of network systems,the article introduces artificial intelligence technology,aiming to improve the accuracy of fault prediction and achieve automated recovery of network faults.Firstly,the system requirements were analyzed.Secondly,the construction of DBN models was discussed.Then,a reliability analysis and automated recovery model based on artificial intelligence was proposed.The final design and implementation of a fault prediction and automated recovery system.This system can significantly improve the accuracy of network fault prediction and the efficiency of automated recovery,thus providing reference and inspiration for practice in related fields.

关 键 词：人工智能 故障预测 自动化恢复 网络技术 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]