Purpose of the paper: The paper presents a real-time online prediction model for network traffic based on ARMA, deriving analysis of the prediction model is carried out;
提出基于ARMA的网络流量实时在线预测模型，并对该预测模型进行了推导分析；
The result showed that the model had a good prediction, and Perceive Risk and Trust were the driving forces to lead online shopping.
结果显示研究模型具有良好的预测性，感知风险和信任是消费者网上购买行为的重要影响变量。
The model can be applied for online prediction or off-line calculation, which provides an important basis to evaluate the security and reliability of power plant boiler.
模型即可用于在线预测也可用于离线分析计算，为锅炉安全性与可靠性评价提供重要依据。
The simulation shows that the SVM model is highly reliable, it offers very important applicable values to implement realtime online control and online prediction for linear reciprocating generator.
仿真表明，SVM模型可靠高效，对实现直线振动发电机的实时在线控制及在线预测具有非常重要的应用价值。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
把一种新的能在线估计时变时滞系统参数的辨识算法与内模控制相结合，提出了时变时滞系统自适应内模控制算法。
Application in online gauge prediction proved that this model can improve the gauge control precision.
实际应用表明该修正模型能够有效提高轧件厚度预测精度。
In the online strip shape control model during hot rolling, accurate prediction of the comprehensive contour has a direct influence on the accuracy of strip shape control model.
在热轧带钢板形在线控制模型中，综合辊形的计算精度直接影响板形控制模型设定的准确性。
In the online strip shape control model during hot rolling, accurate prediction of the comprehensive contour has a direct influence on the accuracy of strip shape control model.
在热轧带钢板形在线控制模型中，综合辊形的计算精度直接影响板形控制模型设定的准确性。
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