The results show that the seasonal ARIMA model is qualified for prediction of outdoor air control of VAV systems.
结果表明，季节性的ARIMA模型可以很好地满足空调系统新风预测的要求。
It proves that this prediction model is effective by machining experiments. Using prediction model can predict and control surface roughness under certain condition.
经加工试验证明了该表面粗糙度预测模型的有效性，从而实现加工前在确定切削条件下预测和控制表面粗糙度的目的。
Practical prediction research of urban traffic flow shows that this model has famous predicted precision, and it can provide exact reference for urban traffic programming and control.
实际的城市交通流量预测研究表明，该模型具有较高的预测精度，可以为城市交通规划和控制提供准确的参考。
This thesis proposes a deviation model for quality control, on the basis of deviation transmission idea and the Grey System prediction.
本文提出一种基于误差传递思想和灰色预测理论的质量控制的误差模型。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
With this model the ferment process is predictively controlled. The experimental curves show that the accuracy of prediction is high and the control result is good.
利用该模型对发酵过程的预测控制，实验曲线表明，可获得较高的预测精度和较好的控制效果。
The results showed that this model is good for prediction and control of end phosphorus content in BOF process.
研究表明，本模型能够对终点磷含量进行很好的预报和控制。
A scheme of model reference adaptive inverse control based on single-step prediction is proposed for the nonlinear system.
针对非线性系统，提出一种基于单步预测的模型参考自适应逆控制方案。
The method of establishing on-line temperature prediction model, set point model and parameter tracing self-learning model of computerized heat recovery processing control system is introduced.
介绍了余热处理计算机控制系统的在线温度预报模型、设定模型和参数跟踪自学习模型的建立方法。
The model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters based on the theory of neural network is adopted.
该模型采用基于神经网路理论的模糊模型参数辨识方法，很适合于复杂系统的模糊预测和控制。
Considering a temperature control system with great delay and model slow changes, a new adaptive prediction control scheme is presented in this paper.
针对一类具有大滞后及模型慢时变的温度控制系统，提出了一种自适应预测控制方案。
Compared with the commonly used linearized model, the nonlinear Park model guarantees the nonnegative input data in grey prediction control, simplifies the prediction algorithm.
与采用线性化模型相比，采用非线性派克模型可保证灰色预测控制输入数据的非负性，简化预测算法。
The prediction control is an excellent method for the control of non-linear complex system. The key unit for predicting control is to design a suitable prediction model.
非线性复杂系统的预测控制是一种高性能的控制方法，其关键在于非线性预测器模型的实现。
On the basis of the fracture model and the deep drawing deformation force. The fracture limit prediction and control criterion is calculated.
根据破裂模型和拉深变形力，导出了破裂极限预报与控制判据。
Overall production index is achieved using intelligent optimal setting model, fault diagnosis model, intelligent prediction model and loop control.
用智能优化设定模型、炉况诊断模型、智能预报模型及回路控制，实现了优化综合生产指标的目标。
The control strategy of prediction for a linear model based on BP-PID was introduced to improve control effect and to decouple the looper system.
采用线性预测模型的BP神经网络PID控制策略以减弱系统的耦合影响，以提高控制效果。
The proposed mathematical model can be used to design the control system and optimize the rolling strategy, and it has great significance to the rolling prediction and ring production.
所建立的轧制模型可用于环轧控制系统的设计与轧制规程的优化，对环件轧制预测和实际生产有重要的指导意义。
Based on the prediction and analyzing results, the corresponding control strategies were proposed and applied into a practical dynamic soft reduction model control system.
基于预测和分析结果，提出了相应的动态轻压下控制策略，并将其应用于实际动态轻压下模型控制系统。
A new method based on multi-model prediction is proposed for the longitudinal guidance of re-entry vehicles with trajectory and control constraints.
在具有控制和轨迹约束的再入制导中，提出了一种新的基于多模型预测再入飞行器纵向制导方法。
Based on oil well IPR curve and the special consideration of the additional skin factors caused by sand control measures, a new productivity prediction model for sand control Wells is developed.
以防砂前油井流入动态(IPR)曲线为基础，考虑各种防砂措施在井底附近造成的附加阻力表皮，建立了一套基于IPR曲线的防砂井产能预测方法。
The model prediction output and the actual output's comparison result confirmed the validity of the ARX modeling in the fluid position control sys…
模型的预测输出和实际输出的比较结果证实了ARX建模在液位控制系统中的有效性。
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。
Numerical simulation results show that the model provides a good theoretical basis for the control and prediction of the propagation performance of the computer viruses.
数值模拟结果表明，该模型能有效地预测和控制计算机网络病毒的传播。
The actual prediction ability of BP network model is improved and training velocity is increased by adding momentum factor and using the weight control calculation in the BP network model.
BP网络模型在加入动量项和引入权值控制算法进行改进后，不但预测能力有所改善，网络的训练速度也有了很大的提高。
The results show that the feed-forward control model has good predication ability. Maximal and average prediction errors of the model are less than 8% and 5%, respectively.
结果表明，前馈控制模型具有良好的预测能力，模型最大和平均预测误差分别小于8%和5%。
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。
Based on the analysis of pilot behavior character a nd control mode, the predictive control ANN (artificial neural network) model is established according to the theory of prediction-following.
在分析驾驶员行为特性和行为操纵的基础上，根据预测跟随理论，建立了驾驶员预测控制神经网络（ANN）模型；
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。
A prediction model of molten steel temperature based on RBF neural network was developed to reduce cost and improve temperature control accuracy for vacuum induction melting.
针对真空感应炉生产过程中温度测量成本较高及精度较差等不足，建立了基于RBF神经网络的真空感应炉终点钢水温度预报模型。
The prediction results will have direct effect on traffic control and traffic guidance. A traffic flow prediction model using support vector machines(SVMs) based method is proposed.
提出一种基于支持向量机的交通流量实时预测模型，通过采用序贯最小优化算法，能够实现对交通流量的有效预测。
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