动态递归模糊神经网络 DRFNN ; dynamic recurrent fuzzy neural network
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分析了动态递归神经网络系统辨识的参数学习算法。
The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed. D.
对所提出的动态递归神经网络进行了分析，以及如何利用它们来进行系统辨识。
The dynamic recurrent neural network is analyzed, and how to use it for system identification is also analyzed.
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。
The identification algorithm integrating the forward evolutionary algorithm and improved BP algorithm for the dynamic recursive neural network model is formed.
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