动态神经网络的权重修正律采用在线学习算法。
对角神经网络(DRNN)为非全反馈式动态神经网络。
Diagonal recurrent neural network (DRNN) is a non-unity feedback network.
本文提出了一种动态神经网络(DNN)模型，并研究了其性质。
This paper proposes a Dynamical Neural Network (DNN) model and studies its properties.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
通过对影响配料精度因素的分析，设计了一种基于动态神经网络的配料控制系统。
A kind of mixture control system, based on dynamic neural network, is designed through analyzing the influence precision factors of mixture.
本文提出一种基于主成分分析法的动态神经网络模型实现高炉铁水含硅量多步预报。
On the basis of this, this paper suggests that analytic hierarchy process(AHP) and principle component analysis(PCA) can .
基于非线性自回归（NARX）动态神经网络模型结构建立了总体转矩需求计算模型。
The total torque requirement is calculated by a nonlinear auto-regression with exogenous input (NARX) dynamic neural network model.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
针对不确定非线性混沌系统，提出了一种基于动态神经网络辨识器的自适应跟踪控制新方法。
An adaptive tracking controller based on dynamical neural network identifier for uncertain nonlinear chaos systems is presented.
提出了两个动态神经网络串联的混合神经网络动态迟滞模型，用以逼近压电陶瓷的迟滞特性。
The hybrid neural network dynamic hysteresis model, which consists of two dynamic neural networks in a cascade form, is proposed to approximate the hysteresis characteristics of piezoceramic actuator.
根据提出的系统模型利用动态神经网络对加工过程质量特征参数的变化进行了跟踪实验，效果良好。
Based on this system, a dynamic neural network is used to track the change of quality characteristics during manufacturing process. Numerical simulation and practical experiment show good results.
该方法将一组改进的鲁棒观测器与一个为其确定参数的动态神经网络相结合，对非线性系统进行故障诊断。
A compound approach with a set of improved robust observers on fault diagnosis on nonlinear system, with a dynamic neural network deciding parameters, is illustrated with an instance of 3-tank model.
并在分析了系统误差的基础上，用一个自适应动态神经网络补偿系统的近似逆误差和前向神经网络的映射误差。
According to analyzing the errors of the system, one adaptive neural networks are used to compensate the error of simplified system and the mapping error of feed-forward neural networks.
提出一种基于动态神经网络的PID控制器，给出pid参数在线自整定学习控制算法，并进行了算法仿真研究。
In this paper, a new automatic tuning method of PID controller based on dynamic neural network is proposed and an online parameter tuning algorithm is given out.
动态神经网络具有复杂力学系统的特性，这决定了它被实际应用的前提是具有较好的一些定性性质，如：稳定性、收敛性等。
Neural networks has the properties of a complex dynamic system, the prerequisite condition of it been used in many field is that it has some qualitative properties such as stability, convergence.
由于动态神经网络结构及权值确定困难，采用二进制与实数编码相结合的联合编码，用遗传算法优化得到神经网络结构及对应权值。
To rise above the difficulty of determining NN's structure and weights, the GA optimization algorithm is used to get them by combining binary encoding with real encoding.
在仿真试验中用动态神经网络所得到的控制算法对模型的输出进行跟踪控制，从仿真结果图可以看出这种控制器能获得较好的控制效果。
Control parameter gotten by dynamic neural network is used to control the model's output in simulation. The result concludes that the controller can get better control result.
基于自适应噪声对消技术及人工神经网络(ANN)理论，提出了一种谐波电流动态检测方法。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.
动态图形模拟器是从属于集成环境，并受之驱动的专用模拟器，它实现了神经网络动态变化过程的模拟。
The dynamic graphical simulator which realizes the dynamic procedure simulation of artificial neural network is driven by and belongs to this environment.
提出将气体传感器阵列动态检测与人工神经网络相结合的方法实现气体的识别。
The method of gas recognition that can combine gas sensor array dynamic detection with artificial neural network is presented.
采用动态对角回归神经网络作为辨识器和控制器，实现了机器人轨迹跟踪的最小误差控制。
Using dynamic recurrent neural networks as identification and controller, the minimum error control of robot tracking the idea locus is implemented.
在动态系统中，利用神经网络进行故障诊断与识别具有很大的潜力。
A high potential application area for neural networks in the dynamic systems is the area of failure detection and identification.
使用动态逆和在线神经网络相结合的方法设计了无人直升机的指令控制器。
Design of a unmanned helicopter command controller using combination of dynamic inversion and a on line neural network is presented.
基本控制律采用非线性动态逆方法设计，神经网络用于对逆误差进行重构。
The base control law is designed in dynamic inversion and neural networks are used to reconstruct inversion error.
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
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。
To test the dynamic property, this pneumatic fatigue test system was identified by a recursive BP neural network.
提出用动态回归神经网络建立高速公路宏观交通流模型。
A dynamic recurrent neural network to freeway macroscopic traffic flow modeling is presented.
提出用动态回归神经网络建立高速公路宏观交通流模型。
A dynamic recurrent neural network to freeway macroscopic traffic flow modeling is presented.
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