多媒体网络信息提供高质量服务检测仿真

发布时间：2018-05-17 12:20

本文选题：多媒体网络 + 高质量服务　；参考：《计算机仿真》2017年10期

【摘要】：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。
[Abstract]:The quality of service (QoS) of multimedia network information is detected by multi-layer filtering of incomplete information in multimedia network. In order to realize the detection of high quality service of network information, it is necessary to filter the incomplete information first, and modify the calculation results of feature similarity. Traditional methods directly cluster the fuzzy similarity of each information population to obtain incomplete information fitness function, but ignore the calculation results of modified feature similarity. A multi-layer filtering method for incomplete information in multimedia networks based on SVM is proposed. Using SVM principle to construct multimedia network data information model, extract incomplete information correlation dimension features, sort the correlation factors of incomplete information data, calculate the similarity between the main features of incomplete information. The influence factor is introduced into the filtering of incomplete information, the result of calculation is modified, the multi-layer filtering mechanism of incomplete information is established, and the high quality service detection of multimedia network information is realized. The experimental results show that the proposed method has high information filtering accuracy and can fully guarantee the quality of service of multimedia networks.
【作者单位】：郑州大学西亚斯国际学院;
【基金】：河南省教育厅研究项目(17A520017)
【分类号】：TN919.8

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