多用户复杂网络信息流短时预测方法
Short-term Prediction Method of Information Flow in Multi-user Complex Network
方加娟 1王艳然1
作者信息
- 1. 郑州职业技术学院信息工程与大数据学院,河南郑州 450121
- 折叠
摘要
当前的多用户复杂网络信息流短时预测模型多为单一结构,预测的范围较小,为此提出多用户复杂网络信息流短时预测方法.根据实时的信息流预测需求及标准的变化,设定最大预测误差范围,采用多阶的方式构建多阶短时预测模型,建立短时模糊预测流程,构建多用户复杂网络信息流短时预测模型,采用自适应修正处理,实现信息流预测.测试结果表明,设计方法的信息流的短时预测F值均可以达到0.95以上,表明该方法的泛化能力与针对性均得到增强,可以大范围地精准预测信息流.
Abstract
The current short-term prediction models of information flow in multi-user complex network are mostly single structure,and the prediction range is small. Therefore,a short-term prediction method of information flow in multi-user complex network is proposed. According to the change of real-time information flow prediction demand and standard,set the maximum prediction error range,build a multi-level short-term prediction model,establish a short-term fuzzy prediction process,build a short-term prediction model of multi-user complex network information flow,and use adaptive correction processing to achieve information flow prediction. The test results show that the short-term prediction F-values of the information flow of the design method can all reach above 0.95,indicating that the generalization ability and pertinence of the method have been enhanced,and it can accurately predict the information flow on a large scale.
关键词
网络信息/信息流/短时预测/预测方法/信息处理Key words
network information/information flow/short-term prediction/prediction method/information processing引用本文复制引用
基金项目
河南省职业院校省级名师培育对象项目(2021)(教职成[2022]115号)
出版年
2024
NETL
NSTL
万方数据