1) daily flow forecasting
日流量预测
1.
This paper applied a genetic algorithm(GA) to optimize the parameters of Support vector machine(SVM) for daily flow forecasting in Chickasaw creek at Mobile County.
提出了采用遗传算法求解支持向量机最优参数的算法,并将其应用于Chickasaw河的日流量预测。
2) daily runoff forecasting
日径流量预测
4) daily discharge forecasting
日流量预报
5) traffic prediction
流量预测
1.
Nonlinear network traffic prediction based on BP neural network;
基于BP神经网络的非线性网络流量预测
2.
Experimental analysis of auto-correlation s effects on traffic prediction of IP network data;
自相关性对IP网络数据流量预测影响的实验分析
3.
Network Traffic Prediction based on ARIMA Model;
基于ARIMA模型的网络流量预测
6) traffic forecast
流量预测
1.
Internet Traffic Forecast;
Internet网络流量预测
2.
After researching on network traffic forecasts by using statistical arithmetic method,a new alarm mechanism is put forward,which will adjust the threshold automatically as well as send alarm messages according to the real network traffic states.
传统的基于流量的网络报警系统往往根据系统配置的固定阈值来判断当前网络流量是否正常,通过运用统计学和预测学对网络流量预测方法进行研究,提出了一种能根据网络实际流量状态自己调整阈值的新型网络报警机制,能有效地发现网络流量异常,从而为评估和优化网络性能提供有力的依据。
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