无线通信网络信息快速分类编码仿真研究

摘要

对无线通信网络的信息的分类编码,能够有效提高无线通信网络运行稳定性.对信息的分类编码,需要计算出信息占用的代码空间,得到信息特征编码原则,完成信息的分类编码.传统方法组建信息快速分类编码标准,提取信息快速分类编码特征,但忽略了获取信息特征编码原则,导致编码精度偏低.提出基于朴素贝叶斯的无线通信网络信息快速分类编码方法.上述方法融合朴素贝叶斯理论表述信息特征与其所属类别之间的相似度,计算出信息属性对分类的贡献程度,对不同的信息特征属性分配不同的权值,计算出信息占用的代码空间,得到信息特征编码原则,将信息特征类型编码定义为信息的标识码,由此进行无线通信网络信息快速分类编码.实验证明,所提方法信息快速分类编码精度较高,有效地提升了无线通信网络信息传输质量.%The traditional method ignores coding principles of information characteristics,which results in the low coding precision.A method for fast classification and coding of wireless communication network information based on Naive Bayes is proposed.The similarity between the expression characteristics of Naive Bayesian theory and its category is integrated,and the contribution degree of information attribute on classification is calculated.Then,the different weights for different information characteristic attributes are distributed,and the code space occupied by information is calculated to get coding principle of information characteristic.Moreover,the encoding of information characteristics type is defined as the identification code of information.Thus,the fast classification encoding of wireless communication network information is completed.Simulation results show that the proposed method has high accuracy of rapid classification and coding,which effectively improves the quality of information transmission in wireless communication network.