改进BP神经网法对无线信息安全率的优化分析  

Optimization Analysis of Wireless Information Security Rate based on Modified BP Neural Network Method

作　　者：孙楚原 SUN Chu-yuan(Siwei Chuangzhi(Beijing)Technology Development Co.,Ltd.,Beijing 100089,China)

机构地区：[1]四维创智(北京)科技发展有限公司,北京100089

出　　处：《通信技术》2020年第4期1012-1015,共4页Communications Technology

摘　　要：分析基于BP模型的无线信息安全率计算方法的优化分析,利用K-Means聚类、Leverberg-Marquisardt设定权重,对标准BP模型进行优化,实现无线信息安全率准确性的提高。MATLAB仿真结果显示:在0.01、0.001和0.0001的安全标准下,改进BP模型的无线信息传输的安全率和计算迭代显著优于标准BP模型。可见,改进BP模型可以简化标准BP模型对无线信息安全率的计算过程,并提高无线信息安全率和计算速度。The optimization analysis of wireless information security rate calculation method based on BP model is explored.K-Means clustering and Leverberg-Marquisardt are used to set the weights and optimize the standard BP model,thus realizing the accuracy improvement of wireless information security rate.The MATLAB simulation results indicate that under the security standards of 0.01,0.001,and 0.0001,the security rate and calculation iteration of wireless information transmission by the modified BP model are significantly superior to the standard BP model.Therefore,the modified BP model can simplify the calculation process of the wireless information security rate of the standard BP model,and improve the wireless information security rate and calculation speed.

关 键 词：无线 改进BP网络 信息 安全率 

分 类 号：TN918[电子电信—通信与信息系统]