【和递归神经网络】

和递归神经网络

Recurrent Neural Networks

...豆丁网其连接情况可分为两类：前馈神经网络（Feedforward Neural Networks，FNN）和递归神经网络（Recurrent Neural Networks，RNN）［1l【2J。

基于4个网页-相关网页

RNN

...m豆丁网、径向基函数网络、时延神经网络(Time Delayed Neural Networks，TDNN)和递归神经网络(Recurrent Neural Networks，RNN)。

基于2个网页-相关网页

和递归神经网络

And recurrent neural networks

以上为机器翻译结果，长、整句建议使用人工翻译。

实验结果表明，基于对角递归神经网络整定的PID控制的交流伺服系统具有响应速度快、稳态精度高和鲁棒性强等特点。

The results of experiments show that AC servo system based on DRNN PID control has quick response speed, high steady accuracy and good robustness.

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利用对角递归神经网络在线自适应调整PID控制器的参数，从而使系统的静态和动态性能指标较为理想。

DRNN is used to adjust the parameters of PID control on-line, accordingly it can make static and dynamic performance index comparatively ideal.

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提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。

This paper presents an adaptive PID control scheme based on dynamic recurrent neural network. The control system is consisted of the neural network identifier and the neural network controller.

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