前馈

一种多变量自校正前馈解耦PID控制器及其应用

A Multivariable Self-tuning feedforward Decoupling PID Controller and It 's Application

学习算法是BP前馈神经网络研究中的核心问题。

Learning algorithm is the core of the subject of studying BP feedforward neural networks .

前馈多层神经网络BP算法与可靠性增长模型

BP Algorithms of Feed-Forward Multi Layer Neural Network and the Model of Reliability Growth

前馈神经网络的模糊PID算法及其在电力系统负荷预测中的应用

The Fuzzy PID Algorithm for Feedforward Neural Network and its Application in Electric Power System Load Forecasting

前馈有源噪声控制（activenoisecontrol，ANC）方法可在较宽的频带有效。

The feedforward ANC ( Active Noise Control ) is effective to attenuate wide-band acoustic noise , and therefore has wide applications .

本文提出了一种新型的AGC系统&前馈AGC。

This paper presents a new type of AGC system , feedforward AGC .

基于MRF模型的多层前馈网络纹理分割方法

Texture Segmentation Based on Image Model and Multi Layered Feed Forward Network

前馈神经网络和Fisher判别分析对上市公司财务状况异常的预测研究

The research on predicting financial abnormity in listed companies using fisher discriminant and feed forward neural networks

并通过仿真比较该算法与PID前馈控制的效果，验证其具有良好的跟踪性能、鲁棒性和抗干扰能力。

The simulation results show that the new PFC-PID control method has better tracking performance , robustness and anti-disturbance ability than those of feed-forword PID control .

为消除端部效应的影响，采用基于B样条网络的学习前馈补偿控制技术，从而达到了良好的补偿效果；

In order to eliminate the influence of the end-effect , the learning feedforward compensation control technology based on B-spline network is adopted ; therefore , the better compensation effect is obtained .

基于dq数学模型，完整给出采用PI前馈前耦的双环控制结构。

PI and feedforward decoupling two loop control method is presented completely based on dq mathematical model .

针对再热汽温受负荷扰动影响较大的特点，在MAC控制器上增加了前馈动态补偿器。

A forward feed dynamic compensator is added to the MAC controller due to the large disturbance of reheat temperature by load surge .

结果高阶前馈神经网络模型应用于区域环境质量评价时，其性能指标优于传统BP网络。

Results The properties of higher order feedforward neural networks model were superior to those of the traditional BP model when applied in the assessment of regional environmental quality .

通过基于DSP的能量回馈变流器实验平台对基于电压前馈的电流解耦控制策略进行了试验。

Another time , the model based on the voltage feed-forward decoupling control strategy was tested to utilize the feedback of the energy converter experimental platform based on DSP .

另一方面，针对不同的退火阶段，分别从热平衡方程进行分析，进而设计了以热平衡方程为核心的前馈模型，结合PID算法有效提高了温度控制的精度。

The other is a feed-forward model , which is deduced according to heat balance of supply and consumption , combined with PID controller used for corresponding annealing stage .

用BP算法对神经网络进行学习和训练，形成相应的多层前馈神经网络（MFNN）。

The neural networks is trained with BP algorithm to build respectively a multi-layer feed-forward neural networks .

同时给出了一个用遗传算法进行单环系统PID控制器优化设计的仿真实例。一种单环前馈线性化功率放大器及其性能分析

The paper also gives an example applying GA to optimize a PID controller of a single loop system . The Construction and Performance of A Single Loop Feedforward Power Amplifiers

模型分析表明，绿背景光的作用使谷氨酸介导的前馈性通路和GABA介导的反馈性通路活动同时得以增强。

Model analysis showed that the activity of both glutamate and GABA related pathways were potentiated during green background illumination .

详细分析了多层前馈型神经网络描述及训练算法机理，从数学的角度推导了误差逆传播算法（BP算法），同时指出了BP算法存在的问题。

The multiplayer forward neural network and its training algorithm are thorough analyzed , Error back propagation algorithm is derived from the mathematic , the problem of BP algorithm is indicated .

然后介绍了如何使用模糊聚类算法和等价的前馈神经网络从样本数据中辨识离散的TS模型。

Then we introduce how to identify the TS model from sample data using fuzzy clustering algorithm and equivalent feedforward neural network .

滚珠丝杠螺距误差前馈补偿法提高X-Y工作台定位精度的研究

Research on the Method of Lead - Screw Error Compensation for Improving X-Y Table Position Accuracy

针对前馈神经网络的反向传播（BP）学习算法收敛速度慢的缺点，提出了一种新的学习算法即线性化快速学习算法。

To overcome disadvantage of slow convergence rate of back propagation ( BP ) algorithm for feedforward network , a new learning procedure which is called faster linearization learning algorithm is presented .

文中根据电厂熟练运行操作员的实际操作经验和数据，在常规串级PID控制系统的基础上，增加设计了基于神经网络技术的前馈控制器。

According to the experiences and data of the skilled operators , a feed-forward controller which is based on the neural network technology was added on the conventional cascade PID control system .

在漆包机烘炉温度控制系统中采用模糊PID结合前馈补偿算法的模糊解耦控制算法，把多输入多输出的漆包机烘炉改变成为多个单输入单输出系统。

The enameling machine oven temperature control system using fuzzy PID combined with feed-forward compensation algorithm , transferred multi input and multi output into a number of single input single output system .

引入非线性反馈补偿，使得控制系统由一个内部非线性前馈环和一个外部反馈环组成。外部反馈环设计为比例微分（PD）控制方式，采用计算力矩控制方法对运动平台进行控制。

The computed-torque control algorithm decomposes the design of the platform motion control into a non-linear inner-loop design and an outer-loop proportional plus derivative ( PD ) type feedback .

通过对前馈神经网络时间序列数据预测网络模型的建立方法及预测方法讨论，基于BP网络对股票数据进行实际预测。

Establishing of prediction network model in multiplayer feedforward neural network ′ s time series prediction and the prediction design measures are discussed , based on BP network the stock data are forecasted .

将神经网络理论应用住宅建筑的主要工料消耗计算，建立了应用BP算法的多层前馈神经网络模型。

This paper deals with the neural estimation of housing building 's major material and labour consumption based on the multilayer feedforward neural network model trained by using the back propagation learning algorithm .

为克服传统的BP网络的不足，采用自适应变步长算法（ABPM）来训练前馈人工神经网络。

The back-propagation ( BP ) network is trained using adaptive variable step size algorithm to overcome the shortage of conventional BP Network .

文中详细分析了该变换器的SPWM控制策略，并且介绍了一种负载电流前馈电路。

In this paper , it is detailed to analyze the SPWM controlling strategy and introduce a kind of output current feed-forward circuit .

遗传算法（GA）和误差反向传播算法的多层前馈网络（BPNN）都具有很强的寻优能力。

Genetic algorithm ( GA ) and Back Propagation neural network ( BPNN ) have a strong capacity of optimizing parameters .