1) network traffic prediction
网络流量预测
1.
It provides a reliable foundation for the establishment of network traffic prediction model.
网络流量的分析与预测对于大规模网络容量规划、网络设备设计、网络资源管理及用户行为调节等都有积极意义,高质量的网络流量预测越来越显得重要和迫切。
2.
In order to improve the precision of the network traffic prediction,this paper proposed a new method of network traffic prediction combining wavelet transform and least squares support vector machines(LS-SVM).
为了提高网络流量预测的精度,研究了一种融合小波变换与贝叶斯LS-SVM的网络流量预测方法。
3.
In order to improve the precision of the network traffic prediction,proposed the BP neural network(BPNN)trained by an optimized QPSO algorithm to model and predict the time series of network traffic data.
为了提高网络流量预测的精度,采用一种改进的QPSO算法训练BP神经网络对网络流量数据的时间序列进行建模预测。
3) Network flow measurement
网络流测量
1.
In this paper,flow measurement methods and its characteristic are investigated;good examinations are given into the High-Speed network flow measurement technology.
网络流测量是网络性能分析和网络流量建模的基础。
4) measurement and prediction
网络测量和预测
5) network traffic volume prediction
网络交通量预测
6) network traffic measurement
网络流量测量
1.
The research and implement of network traffic measurement system is regarded as a base and an important approach of" network management.
网络流量测量系统的研究和实现是网络管理的基础和重要环节，在现有的网络拓扑结构上合理分配、优化网络资源，都需要以流量测量为基础进行分析和建模。
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条