2) 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) short-term traffic flow forecasting
短期交通流预测
1.
Study of the short-term traffic flow forecasting based on nonlinear theory;
基于非线性理论的短期交通流预测研究
4) short term prediction of passenger flow
短期客流预测
5) short-term traffic volume prediction
短期交通量预测
1.
A prediction framework based on the short-term traffic volume prediction and application microscopic simulation model was developed for short-term prediction of traffic system performance.
提出了基于应用微观交通仿真模型和短期交通量预测的服务性交通参数预测模型。
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