多媒体网络信息提供高质量服务检测仿真

摘要

A multiple filtration method of incomplete information of multimedia network information is proposed based on SVM.Firstly,the SVM principle is used to build model for data information of multimedia network and correlation dimension feature of incomplete information is extracted,then correlation factors of the incomplete information data are ranked.Moreover,the similarity between main features is worked out and the influence factor is introduced into filtration of the incomplete information.The calculation result is also amended and multilayer filtering mechanism of the incomplete information is built.Finally,the detection of high-quality service is achieved.Simulation results show that the proposed method has high filtering precision.It can ensure service quality of multimedia network sufficiently.%通过对多媒体网络不完整信息的多层过滤,对多媒体网络信息的服务质量进行检测.为了实现网络信息高质量服务的检测,需要先对不完整信息进行多层过滤,对其特征相似度的计算结果进行修正.传统方法对每个信息群体进行模糊相似性直接聚类,得到不完整信息适应度函数,但忽略了修正特征相似度的计算结果.提出基于SVM的多媒体网络不完整信息多层过滤方法.利用SVM原理构建多媒体网络数据信息模型,提取不完整信息关联维特征,对不完整信息数据的关联因子进行排序,计算出不完整信息主特征间的相似度,将影响因子引入到对不完整信息的过滤中,对计算结果进行修正,组建不完整信息多层过滤机制,实现多媒体网络信息提供高质量服务检测.实验结果表明,所提方法信息过滤精度较高,可以充分的保障多媒体网络的服务质量.