The identification algorithm integrating the forward evolutionary algorithm and improved BP algorithm for the dynamic recursive neural network model is formed.
与改进BP算法相结合，各取所长，形成集成化动态递归神经网络建模辨识算法。
To test the dynamic property, this pneumatic fatigue test system was identified by a recursive BP neural network.
为了考察该系统的动态性能，采用递归BP神经网络对该系统进行辨识。
With the feedback behavior, the recursive neural network can catch up with the dynamic response of the system.
由于其反馈特征，使得递归神经网络模型能获取系统的动态响应。
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