On-line neural network weight tuning is used.
动态神经网络的权重修正律采用在线学习算法。
A self adaptive inversion controller for UAV landing based on on-line neural network is designed in this paper.
基于在线神经网络设计了无人机着陆飞行自适应逆控制器。
Secondly, power line noise channel and multi-path channel optimization modeling techniques based on artificial neural network are proposed.
其次，提出了电力线噪声信道和多径信道的神经网络优化建模方法。
According to fault characteristic of the electro hydraulic servo system, this paper has proposed a fault tolerant project that USES the fuzzy neural network as an identifier on-line.
根据电液伺服系统的故障特点，本文提出了采用模糊神经网络做在线辨识器的容错控制方案。
The parameters of the neural network PID controller are modified on line by the improved conjugate gradient.
并用这种改进的共轭梯度法对神经网络PID控制器参数实现在线修正。
In this paper, the application of neural network is presented in the control system fault diagnosis. The method of on-line and off-line fault diagnosis are given.
本文介绍了神经元网络在控制系统故障诊断中的应用，讨论了神经元网络用于控制系统故障的离线诊断与在线诊断。
Design of a unmanned helicopter command controller using combination of dynamic inversion and a on line neural network is presented.
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。
Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built.
通过构造一个特殊的多层前向神经网络，利用模拟并行测量装置的基本原理，设计了相应的谐波监测电路。
This paper firstly introduces an extended plant adaptive neural network model which can be on-line adapted conveniently, then presents a method of active noise control using adaptive neural networks.
本文首先引入一个能方便进行在线自适应的扩展控制对象自适应神经网络模型，在此基础上提出一种噪声有源控制的自适应神经网络方法。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.
仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。
According to the feature of flexible machining, it be studied that the scheme and key technology of on-line modeling and prediction of machining error based on genetic neural network.
针对柔性加工过程的特征，研究了基于遗传神经网络的加工误差在线建模预报的方案和关键技术。
Modeling for nonlinear soft measuring by means of neural network can be used to estimate variables that can not be measured on line.
用神经网络为非线性软测量建模，用于推断估计不可在线测量的变量。
In This paper, an on-line learning controller based on CMAC with Gauss Basis Function Neural Network is presented, and its algorithm is discussed.
本文提出了基于高斯基函数CMAC在线学习的控制方案，并给出了相应的学习算法。
A new type of adaptive PID controller using diagonal recurrent neural network (DRNN) is presented. An on-line learning algorithm based on PID parameter self-tuning method is given.
提出了一种基于对角回归神经网络的PID控制器结构，给出了PID参数在线自整定的学习控制算法。
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
It can identify the parameters of a controlled object by forming a fake output and bring in a feedback error for performing an on-line training to decouple the neural network.
它通过构造伪输出辨识被控对象参数，引进反馈误差，实现对解耦神经网络的在线训练。
The result of adaptability experiment for valving controller based on artificial neural network is presented in this paper. The controller is trained by off-line BP network.
本文给出了用人工神经网络硬件构成的汽门控制器的适应性实验结果，控制器采用BP网络离线训练。
BP neural network control model based on the washing machine has been builded in this paper. A new off-line learning method of BP network has been suggested and realized on chip microcomputer.
论文以工业洗衣机为控制对象，建立了BP神经网络智能控制模型，提出了BP网络的一种离线式学习方法，并在微机中实现。
To solve these problems, a neural network approach for on-line industrial tracking controlling is presented.
针对这种问题，提出了一种神经网络在线工业跟踪控制方法。
The typical faults of diesel injector were simulated and the pressure waves were measured with the pressure sensor clamped on high pressure line. Artificial neural network was used in fault diagnosis.
通过实验模拟喷油器的典型故障，用外卡式压力传感器测取高压油管的燃油压力波，并利用人工神经网络模型进行了故障诊断。
For on-line fault diagnosis of hydraulic AGC system on strip rolling mill, a recursive neural network model based on NARMA was established. The model order is determined by AIC method.
针对板带轧机液压agc系统在线故障诊断问题，建立了一种基于非线性自回归滑动平均模型NARMA的递归神经网络，通过AIC定阶法确定模型阶次。
CMAC is a local generalization neural network. Comparing with BP network, it has quicker convergent rate and better adaptability, thus it is suitable to dynamic real time on-line control.
CMAC神经网络是一个局部泛化网络，相比BP网络有更快的收敛速度和更好的适应性，非常适合用于动态在线实时控制。
Methods based on BP neural network and RBF neural network were studied to solve inverse kinematics. The training samples were obtained through off-line numerical method with high precision.
通过离线的迭代算法生成高精度的样本点来训练神经网络，使用动量法、变学习率法和共轭梯度法提高BP网络的收敛速度。
RBF neural network adopts the off-line training and the on-line adaptation of weight and threshold value. In order to speed up the convergence, the grads descent method with inertia item was used.
RBF神经网络采用离线学习在线修正权值和阈值，为加快收敛速度，应用带惯性项的梯度下降法。
A linear observer is firstly designed. Then a neural network is used for compensating uncertainty. The parameter of VSC is adjusted on line by a neural network.
首先设计一个线性观测器，随后用神经网络对其具有不确定性的部分进行补偿，并用神经网络实现对变结构控制器参数的在线调整。
A linear observer is firstly designed. Then a neural network is used for compensating uncertainty. The parameter of VSC is adjusted on line by a neural network.
首先设计一个线性观测器，随后用神经网络对其具有不确定性的部分进行补偿，并用神经网络实现对变结构控制器参数的在线调整。
应用推荐