The article summarized the experiment using a recurrent network to simulate uniform transmission line.
本文为配合教学总结了用链型网络模拟均匀传输线的实验。
And, the application of Recurrent Network and Radius Basis Network to fault diagnosis is also primarily studied.
最后对回归神经网络和径向基神经网络在故障诊断中的应用进行了初步的研究。
It is composed of a hybrid locally connected recurrent network with an activation feedback and an output feedback respectively in the hidden layer.
该网络控制器的隐含层由带有输出反馈和激活反馈的混合局部连接递归网络组成。
According to the research of the recurrent neural network control method application to aeroengines, the system based on recurrent network is built.
根据反馈神经网络控制方法在发动机控制系统中的应用研究，建立了基于反馈网络的发动机控制系统。
A sensitivity predictive controller with memory recurrent network for use in the comprehensive control of the water hammer and the frequency is proposed.
提出一种对水轮发电机组水压频率进行综合调节的记忆递归网络灵敏度预测控制器。
Comparing with time delayed feedforward network and diagonal recurrent network, output recurrent network shows its advantages in real-time fault detection system.
通过仿真，与前馈时延网络与对角递归网络的比较研究，说明了在实时故障诊断系统中输出递归网络结构的优越性。
This RPE algorithm was adapted to the simple recurrent network by making improvement and complementarity, and the weight and the threshold of the network can be adjusted at the same time.
对RPE算法进行了改进和补充，使之适用于简单递归网，用来对网络的权值和阈值进行调整。
A structure and training algorithm for quasi-diagonal recurrent neural network (QDRNN) is presented.
提出一种准对角递归神经网络(QDRNN)结构及学习算法。
This paper describes the efficiency and restriction of the distribution by the means of math and applies recurrent neural network in the question.
该文用数学的方法描述了资源分配效率和分配的约束条件并将离散反馈网络应用在这个问题中。
Numerical results show that the recurrent back propagation control neural network controller has good effectiveness for various kinds of reference speeds of the ultrasonic motor.
模拟实验结果表明，递归反向传播控制神经网络对多种形式的超声马达参考速度都有很好的控制效果。
This paper presents an adaptive congestion control model in ATM networks at the user to network interface by using a diagonal recurrent neural network (DRNN) as an predictor.
提出一种在用户-网络接口处利用对角递归神经网络(DRNN)作为自适应预测器，实现AT M网络自适应拥塞控制的模型。
This is written about me on the diagonal recurrent neural network procedures, may be helpful to you.
这是我写的关于对角递归神经网络的程序，或许对你有所帮助。
This provides a new way to the fast training of complex valued recurrent neural network.
这为快速训练复值递归神经网络提供了一条新的途径。
A scheme of adaptive control based on recurrent neural network is presented for a class of nonlinear systems only with a nonlinear part.
基于递归神经网络给出了仅含一个非线性环节的一类非线性系统的自适应控制方案。
Since a static fuzzy neural network cannot deal with the temporal problem, a dynamic fuzzy neural network (DFNN) with recurrent units is proposed.
针对静态网络无法处理暂态问题，对具有递归环节的动态模糊神经网络进行了研究。
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.
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。
Global asymptotic stability of general recurrent neural network models with S-type distributed delays on infinite intervals.
无限区间上s -分布时滞广义递归神经网络模型概周期解的全局渐近稳定性。
The recurrent neural network model based on projective operator is studied.
研究了一种基于投影算子的神经网络模型。
Then, aiming at the existing problem, the algorithm of dynamic recurrent neural network, RBF neural network and adaptive inverse control is studied in the paper.
接着，结合其存在的问题，对动态递归神经网络、R BF神经网络和自适应逆控制进行了算法研究。
The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed. D.
分析了动态递归神经网络系统辨识的参数学习算法。
This paper presents a model for identifying induction motor speed using the recurrent neural network, which is trained by a real time recurrent learning algorithm.
本文利用递归神经网络来建立异步电机转速辩识模型，其网络学习采用实时递归学习算法。
This paper proposes an internal model control system based on recurrent neural network, and considers jigger layer loose condition as research object.
该文提出一种基于对角递归神经网络的内模控制系统，并以跳汰生产过程床层松散状况为对象进行了研究。
A novel indirect adaptive controller based on dynamic recurrent fuzzy neural network (DRFNN) is proposed for affine nonlinear system.
针对仿射非线性系统，提出了一种新型的基于动态递归模糊神经网络(DRFNN)的间接自适应控制器。
A locally recurrent neural network controller based on neural network is proposed.
基于人工神经网络提出了一种局部递归神经网络控制器。
The dynamic recurrent neural network is analyzed, and how to use it for system identification is also analyzed.
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 recurrent neural network(RNN) model based on projective operator is studied.
研究了一种基于投影算子的神经网络模型。
The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed.
分析了动态递归神经网络系统辨识的参数学习算法。
An adaptive PID control scheme based on dynamic recurrent neural network is presented. The control system is consisted of the neural network identifier and the neural network controller.
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。
An adaptive PID control scheme based on dynamic recurrent neural network is presented. The control system is consisted of the neural network identifier and the neural network controller.
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。
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