Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.
反演使用的模拟数据是用IEM模型得到的，并用来训练神经网络。
The generalized adjusted R2 of 200 simulated data sets models all are less than that of the actual data models.
模拟的200个随机数据集分别建模所得广义调整R 2无大于等于实际数据集所得广义调整r 2值。
Through dynamic time warping analysis to the hot-fire test data and simulated fault data of a certain liquid rocket engine, the warped path sets were obtained.
对某大型液体火箭发动机的热试车数据及通过发动机模型仿真得到的故障数据进行动态时间弯曲分析，得到弯曲路径集，然后结合决策树方法进行了故障检测和诊断。
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