基于人工智能算法的无线移动通信系统风险评价  

Wireless mobile communication system risk assessment based on artificial intelligence algorithm

作　　者：李新 LI Xin(Department of Mathematics and Information Engineering,Liaocheng University Dongchang College,Liaocheng 252000,China)

机构地区：[1]聊城大学东昌学院数学与信息工程系

出　　处：《现代电子技术》2020年第1期12-15,共4页Modern Electronics Technique

摘　　要：风险评价模型是保证无线移动通信系统安全的一种重要技术,针对当前无线移动通信系统风险评价正确率低,评价耗时长等缺陷,设计基于人工智能算法的无线移动通信系统风险评价模型。首先,对无线移动通信系统风险评价的国内外研究现状进行分析,建立无线移动通信系统风险评价指标体系;然后,根据无线移动通信系统风险评价指标体系收集学习样本,并采用人工智能算法优化神经网络构建无线移动通信系统风险评价模型;最后,进行无线移动通信系统风险评价仿真对比测试。结果表明,人工智能算法的无线移动通信系统风险评价正确率超过95%,评价误差小于其他模型,而且无线移动通信系统风险评价时间明显减少,实时性能更好,具有更高的实际应用价值。Risk assessment model is an important technology to ensure the security of wireless mobile communication system.To deal with the defects of low accuracy and long time⁃consumption of risk evaluation in current wireless mobile communication system,a risk assessment model based on artificial intelligence algorithm is designed for wireless mobile communication system.Firstly,the research status of risk assessment for wireless mobile communication system at home and abroad is analyzed and the risk evaluation index system for wireless mobile communication system is established.Then,learning samples are collected according to the risk evaluation index system for wireless mobile communication system,and the artificial intelligence algorithm is adopted to optimize the neural network for the construction of risk evaluation model for wireless mobile communication system.Finally,the simulation and comparative test of risk assessment for wireless mobile communication system is implemented.The results show that the accuracy rate of wireless mobile communication system risk assessment model based on artificial intelligence algorithm is over 95%,and its evaluation error is less than other models.Moreover,the duration of risk assessment for wireless mobile communication system is obviously shortened and its real⁃time performance is better.Therefore,it has higher practical application value.

关 键 词：风险评价 无线移动通信系统 人工智能算法 风险评价模型 神经网络优化 研究现状分析 

分 类 号：TN919-34[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]