输入误差

Another carries out input fuzzy quantificat and grading quantificat in the same time, deduces using Takagi-Sugeno fuzzy algorithm, and introduces fuzzy algorithm into weight training of CMAC. It has the characteristics of less quantificat grade and high accuracy of function approximability. It shows good effectivity used for Wiener model identifying. By syncretizing MVL, linear neuron, fuzzy control and CMAC, this paper gives a kind of FCMAC nonlinear control system with the ability of self-learning in line.

将模糊控制和小脑模型神经网络有机的结合在一起，提出了两种模糊小脑模型神经网络，一种是在CMAC基础上进行输出模糊插值，可减小非样本点误差，提高精度和训练速度；一种是对输入进行分级量化的同时进行模糊量化，利用Takagi-Sugeno模糊算法进行推理，并将模糊算法引入CMAC的权值训练，具有输入量化级数少、函数逼近精度高等特点，用于Wiener模型辨识效果好。

Moreover, in order to decrease system's tracking error, the change rate of input variable is taken as a control variable, this strategy is suitable for a class of tracking control systems in which the input changes rapidly.

文中所采用的将输入变量的变化率作为控制变量来降低系统跟踪误差的方法，适用于一类输入变化较快的跟踪控制系统。

With voltage measurements, the input current is ideally zero; thus, any input current represents an error.

对电压测量来说，理想的输入电流应为零，所以，一切输入电流都代表误差。

Charge measurements made with an electrometer are subject to a number of error sources, including input offset current, voltage burden, generated currents, and low source impedance.

用静电计进行电荷测量时容易受到几种误差源的影响，其中包括：输入偏置电流、输入端压降、产生电流和低的源阻抗等。

In this paper,from the view of engineering application,under the condition that three control points formed an isosceles triangle,the relationship is studied between the error of P3P pose estimation methods and the input parameters.

从工程应用的角度出发，在三个控制点构成等腰三角形的条件下，研究P3P位姿测量方法的误差与输入参数误差的关系。

Aimed at the characteristic of multiple types of faults possibly happened in nuclear power plant, large scale of training sample, and requirement of quick and accurate diagnosing, after the analysis of large sample number generated by large fault type exceeds limitation of 64K paragraph in DOS and large number of local minmum in error surface, measurements of same format of data file, Win95/NT operating system platform, resetting weight learning rate, dynamic training set in quick learning algorithm and improvement on quick learning algorithm using homotopy method which can avoid local minmum points in error surface have been adopted to ensure quickly and effective process of the course of neural network's training and testing.

针对核动力装置可能发生的故障种类多，训练样本规模大，故障诊断需要快速准确的特点等，分析了样本多和故障种类多产生的训练样本量超出DOS段大小和网络误差曲面上局部极小值多的情况，采取了使用相同格式数据文件、Win95/NT操作系统平台，对快速学习算法采用重置神经网络权值学习率和动态训练集、并采用能够有效克服网络误差曲面上局部极小点的同伦方法对学习算法进行改进等措施保证神经网络训练测试过程的快速、有效地进行；针对装置发生的故障须快速、准确诊断的需要，分析了故障的产生对装置参数变化的影响及操纵员对故障诊断的基础，在核动力装置发生故障时参数曲线的变化量与正常运行时参数曲线的变化量存在明显差异的基础上，提出采用参数曲线的变化量作为神经网络的输入，并围绕参数变化量的方法采用二次曲线拟合滤波求变化量和阈值技术来保证神经网络得到精确的装置参数变化量，从而得到准确的诊断结果。

During the search process,a lot of codewords can be rejected by utilizing the relationship among the sum of the input vector,the sums of the codewords and MSE.

在迭代过程中，利用输入矢量的和值、各码字的和值以及均方误差三者之间的各种特性排除大部分候选码字而免去许多均方误差计算。

Its inputs are error e and error change ec and adust its PED parameters kp , kt, kd online with fuzzy induce method based on the normal PIDcontroller. It can fulfill the command of different e and ec for PID parameters, which gives the controlled object a better static and dynamic performance.

它是在常规PID控制器的基础上，以误差e和误差变化率c作为输入，采用模糊推理方法对PID参数K_p、K_i、K_d进行在线自整定，以满足不同e和c对控制器参数要求，而使被控对象具有良好的动、静态性能。

The influence of its main design parameters on the floating displacement is analyzed.These provide theoretical background for the design of the basic floating parts of the star gear train.The floating displacement of center gears does not change with the power change of the train,and increases with the increase of the rotational speed of the train...

分析表明，中心轮的浮动位移量不随系统输入功率的变化而变化，随系统转速的增大而增大；中心轮的浮动位移量随系统星轮个数的增加而增大，随系统构件误差值的增大而增大，各构件的误差值对中心轮的浮动位移量的影响有累加作用；中心轮的浮动位移量随其齿轮的质量及转动惯量的增大而增加。

To solve the problem, the error estimates for multivariate Lagrangian interpolates are given. From this, the upper bound of the rule number for a good multi-input fuzzy controller can be found out. The errors for a fuzzy controller to approximately precise control can be obtained after determining fuzzy rule base.

为讨论此问题，给出了多元Lagrange插值公式的误差估计式，并据此推导出一个好的多输入模糊控制器所需规则个数的上界，当模糊规则库确定之后，可求得用模糊控制器逼近精确控制时的误差。

Finally, according to market conditions and market products this article paper analyzes the trends in the development of camera technology, and designs a color night vision camera.

最后根据市场情况和市面上产品的情况分析了摄像机技术的发展趋势，并设计了一款彩色夜视摄像机。

Only person height weeds and the fierce looks stone idles were there.

只有半人深的荒草和龇牙咧嘴的神像。