根据对工艺和实验数据的分析及预测目标等条件，确定了模型的结构。
The model structure was designed based on the analysis of technology and experiment data as well as forecast target.
建立树脂体系的流变模型可以预测体系rtm工艺窗口。
Chemorheology model can be used to predict the processing window of RTM.
以生产数据为学习样本，建立BP神经网络模型，实现对剪切旋压工艺参数的预测。
BP neutral networks model has been established in order to predict process parameter of shear spinning based on many data accumulated during manufacturing.
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