The authors realize the compensation of optical current transducer's linear birefringent effect by using artificial neural networks.
作者采用人工神经网络来实现光学电流互感器线性双折射效应的补偿。
Lastly, an approach based on the Neural Networks Algorithm without modeling is presented to groping research on dynamic compensation to improve the accuracy of robot trajectory.
最后，在该控制系统的基础上，提出了利用神经网络理论无需建模的方法进行动力学补偿探索式研究，取得了很好的效果。
To improve measurement precision of gyroscope, a novel nonlinear error compensation model is proposed using an algebra algorithm of neural networks.
为了提高陀螺仪的测量精度，基于神经网络代数算法提出一种新的非线性误差补偿模型。
Simultaneously, the strategy of fault recovery of neural networks is studied and a fault compensation algorithm is given.
同时，本文对神经网络的故障恢复策略进行了研究，提出了相应的补偿算法。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
CMAC is a kind of neural network which simulates human cerebellar mechanism, which has the self-adapt compensation function.
CMAC是模仿人类小脑工作机理的一种神经网络，它具有自适应补偿能力。
The Control strategy based on the CMAC neural network and varying gain compensation has high accuracy and self-adaptive ability in engine air fuel ratio control.
基本CM AC神经网络和变增益补偿的控制策略在发动机空燃比控制中具有良好的精度和自适应性。
Based on the property of the system inverse model, an integral approach to nonlinear compensation of temperature measuring system with thermistor based on neural network is presented.
从系统逆模型补偿出发，基于神经网络提出一种更加完备的热敏电阻测温系统非线性校正方法。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
A new method for realizing the temperature compensation of capacitive pressure transducer based on radial basis function (RBF) neural network is proposed.
提出了一种基于径向基函数(RBF)神经网络的电容式压力传感器温度补偿方法。
The BP neural network used in the temperature characteristic of the boundary film on the screw-nut pairs surface in the wear-self-compensation system was established.
本文用双隐层BP人工神经网络建立了丝杆螺母副表面边界膜温度特性的磨损自补偿数学模型。
A method based on recurrent neural network compensation Kalman's evaluation error is proposed in order to enhance the evaluation precision.
为了提高卡尔曼滤波估计精度，提出了一种基于回归神经网络补偿卡尔曼滤波器估计误差的方法。
The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is introduced in this paper.
本文介绍了一种具有快速学习算法、能够执行补偿模糊推理的补偿模糊神经网络。
Compare with other neural networks, the RBF neural network have the features of training quickly and little errors in estimating risk compensation rate.
在满足同样精度情况下，选用RBF神经网络建模，训练速度很快，基本误差小，较好地解决了风险补偿费率的估计问题。
The BP neural network used the wear-self-compensation mathematics model of the relationship of tribology characteristic with load of the heavy load screw-nut pairs was established.
用BP人工神经网络建立了重载丝杆螺母副的摩擦学特性与载荷之间关系的磨损自补偿数学模型。
In the monomer weighing aspect, this paper using the function chain neural network method to model building and study , Compensation electric bridge misalignment error.
在单体称量方面，本论文运用函数链神经网络方法建模学习以补偿桥路的非线性误差；
This method utilizes the nonlinear mapping ability of the BP neural network. By training, the BP neural network achieves the error compensation for multi sensor system.
该方法利用BP网络较强的非线性映射能力，网络通过学习能实现对传感器系统误差的补偿。
The text proposed the temperature compensation with the artificial neural networks to it the software compensation technology.
提出和研究了用人工神经网络对其进行温度补偿的软件补偿技术。
On-line inspecting system; Pre-travel error; BP neural network; Error prediction; Error compensation;
在线检测；预行程误差；BP神经网络； 误差预测； 误差补偿；
Aim To eliminate the influences of backlash nonlinear characteristics generally existing in servo systems, a nonlinear compensation method using backpropagation neural networks (BPNN) is presented.
目的为了消除普遍存在于伺服系统中的间隙非线性的影响，提出一种利用B P神经网络进行非线性补偿的方法。
Each subsystem is designed using adaptive control with neural network compensation. The stability of the system is guaranteed by the proposed parameter and weight turning law.
各控制子系统的设计采用自适应控制和神经网络相结合的方法，所提出的参数和权重的自适应调整律保证系统的稳定性。
Compensatory fuzzy neural network is a hybrid system which integrates compensation fuzzy logic and neural network.
补偿模糊神经网络是综合补偿模糊逻辑和神经网络的混合系统。
The principle of nonlinearity compensation and training method of neural network are introduced.
介绍了非线性补偿的原理和网络训练方法。
In view of the disadvantages of zero-pole matching dynamic compensation method, the dynamic compensation method of tilting train measurement system based on non-linear neural network is put forward.
针对零极点匹配动态补偿方法的不足，提出基于非线性神经网络的摆式列车检测系统动态补偿方法。
Applying neural network to intensity compensation of optical fiber sensors, a method based on radial basis function network is proposed.
将神经网络应用于光纤传感器的光强补偿，提出了一种基于径向基函数神经网络的光强补偿方法。
Based on the feedback control, the neural feedforward compensation was applied in oxygen control of closed cycle diesel.
在闭式循环柴油机配氧反馈控制的基础上采用了神经网络前馈控制策略。
The paper also presents a predictive compensation algorithm based on the neural network; the algorithm is used to predict the condition of E. A. F, by which the output of a routine c…
电弧炉和精练炉控制采用基于三相意识的专家控制系统，并提出一种新的电弧炉控制算法预估补偿算法。
The neural network trained by projection algorithm with the reference error is used to approximate the desired feedforward compensation. Convergence of the tracking error is proved.
提出一种基于参考误差的投影算法来训练网络权值，训练后网络输出能逼近期望的前馈力矩，并从理论上证明跟踪误差的收敛性。
The neural network trained by projection algorithm with the reference error is used to approximate the desired feedforward compensation. Convergence of the tracking error is proved.
提出一种基于参考误差的投影算法来训练网络权值，训练后网络输出能逼近期望的前馈力矩，并从理论上证明跟踪误差的收敛性。
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