通信网络链路非平稳数据自动修复方法  

Automatic Repair Method for Non-Stationary Data of Communication Network Link

作　　者：陈小娟[1] 张慧萍[1] 贺红艳[1] CHEN Xiao-juan;ZHANG Hui-ping;HE Hong-yan(Hubei University of Technology Engineering and Technology College,Hubei Wuhan 430068,China)

机构地区：[1]湖北工业大学工程技术学院,湖北武汉430068

出　　处：《计算机仿真》2022年第2期491-495,共5页Computer Simulation

摘　　要：针对传统方法数据修复率较低,修复耗时较长,修复准确性较低的问题,为提高通信网络链路非平稳数据修复效果,设计了一种通信网络链路非平稳数据自动修复方法。采集通信网络链路传输数据,并构建非平稳数据噪声模型,对采集的数据进行去除噪声处理。根据噪声处理结果采用遗传算法对非平稳数据进行检测,并采用决策树方法对非平稳数据进行自动修复。实验结果表明,所设计方法的数据修复准确性较高,非平稳数据自动修复率较高,并且修复耗时少,证明了所研究的修复方法提高了非平稳数据的修复效果,具备实际应用意义。Traditional data restoration methods have many disadvantages, such as low repair rate and accuracy, long repair time. Therefore, this paper proposes an automatic non-stationary data repair method for communication network links. Firstly, the transmission data of communication network link were collected, and the non-stationary data noise model was established in order to denoise the collected data. Secondly, based on the noise processing results, genetic algorithm was utilized to detect non-stationary data. Finally, the decision tree method was introduced to repair non-stationary data. The experimental results show that this method has high data repair accuracy and repair rate, short repair time, which proves that this method can improve the repair effect of non-stationary data and has practical significance.

关 键 词：通信网络链路 非平稳数据 自动修复 遗传算法 决策树 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]