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。
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。
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