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real error相关的网络例句

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与 real error 相关的网络例句 [注:此内容来源于网络,仅供参考]

Since the correlation of 3 dimensional data is used, better results were obtained in respect of smoothness, sharpness, and connectivity and interpolation error is reduced dramatically. Experimental results from real volume data are given.

实际的数据实验结果证明,在保持表面的光滑、连续和清晰的同时,显著减少了内插错误。

The measure unit adopts RENISHAW LP2DD probe. HEIDENHAIN linear and round encoders of the machine can as position feedback element. The measure system uses interruptive function of CNC system. When the probe is touched, CNC system will receive a interruptive signal and memory current coordinate position of CNC axes automatically, then after software deals with these information, the real measure data will be got. Compared with theory data, measure error data will be gained.

测量单元采用雷尼绍的LP2DD测头,用机床本身的反馈元件HEIDENHAIN的直线光栅和圆光栅作为位置反馈元件,利用数控系统的中断,当测头被触发时,给数控系统一个中断信号,数控系统自动记忆当前的数控轴的坐标位置,然后经过后续软件处理,得到实际测量值,再与理论值进行比较,得到测量误差值。

The invention refers to a method to correct universal frequency of electric communication technique, its character: make signal index quantization on the complex number of cross product, to directly reflect the quantized numerical value of tangent value and the located quadrant of imaginary and real parts, use inverse tangent ROM table to discriminate the processed result, then make loop filter and phase accumulation on the discriminated result to obtain error-correcting angle, and use digital controlled oscillator to make table look-up and quadrant adjustment to obtain correcting factor; use the relationship of trigonometric function in each quadrant to compress inverse tangent look-up table ROM and digital controlled oscillator look-up table ROM.

一种涉及电通信技术的通用频率纠正的方法,其特征在于:它采用如下步骤:经过叉积的复数进行信号指数量化处理,通过该复数虚、实部信号的指数量化结果的差值及其极性直接反映虚、实部的正切值的量化数值以及所处象限,将处理后的结果通过反正切ROM表进行鉴频,鉴频后的结果经环路滤波和相位累加,得纠偏角度,通过数控振荡器针对纠偏角度进行查表和象限调整,得到纠正因子;通过个象限之间的三角函数关系来压缩反正切查表ROM和数控振荡器查表ROM的大小,本发明资源耗费小,效率高,可极大地节省内存资源。

Through the improvement of the existing model,the Gaussian distribution of the residual error is supplanted by the Laplace distribution in order to approach the real distribution.

通过对已有模型进行改进,用拉普拉斯分布代替插值点残留误差的正态分布,使分布情况更符合实际。

The nonlinearity and discrete gradient inherited in CAViaR model is a conundrum for parameter estimation. We take the asymmetric Laplace distribution with scale parameter as the error process; indicate the variance has a minimum positive value when the scale parameter is a constant, conflicting with the distribution of real financial data. Further we estimate the parameters of indirect TARCH-CAViaR model base on Bayesian framework and Markov chain Monte Carlo method. The optimal scale parameter can also be obtained by Markov chain Monte Carlo method.

CAViaR一般模型中递归分位回归方程的非线性和非连续可微性是参数估计的一个难题,基于含有尺度参数的不对称拉普拉斯分布作为误差过程,指出将尺度参数固定为常数会导致不对称拉普拉斯分布随机变量的方差存在最小正值的限制,与实际金融数据分布不符;进而提出采用贝叶斯分析和马尔科夫链蒙特卡罗模拟方法,估计间接TARCH-CAViaR模型的参数,并可获得尺度参数的合理估计。

Firstly, several kinds of schemes were proposed according to the design demand. The best scheme was chosen after analyzing and comparing the schemes. The robot's structure was designed with Pro/Engineer and AutoCAD software. Secondly, the kinematics analysis conducted, coordinate transformation matrix using D-H method was set up, and the kinematics equation direct solution and inverse solution was deduced. The manipulative interface about the kinematics equation direct solution and inverse solution was completed with VC++ and the velocity Jacobian of displacement matrix was constructed using differential transform method. In the process of the trajectory planning based on robot's kinematics analysis, I propone a method by which we can get middle nodal point with normalizing factor in order to simplify our searching for these middle nodal points. In addition, I give these middle nodal points with actual physics signification. For eliminating contradiction between real-time and accuracy, I bring forward separately limit of error and reversal interpolation method. For decreasing calculation quantity, we resort to tri-spline interpolation in the articulation space.We analyse the work range of the robot by resorting to graphic means.

首先,作者针对机器人的设计要求提出了多个方案,对其进行分析比较后,选择其中最优的方案后用Pro/Engineer和AutoCAD软件进行了机器人模型结构设计;其次,进行了运动学分析,用D-H方法建立了坐标变换矩阵,推算了运动方程的正、逆解,运用VC++制作了正、逆运动学求解的求解界面;并且用微分变换法推导了速度雅可比矩阵;在基于机器人的运动学的轨迹规划中,通过在操作空间的规划,提出了归一化因子来求解中间结点,通过它可以使求解中间结点变得更简单,并且赋予这些中间结点实际的物理含义,对于规划中精确性和实时性的矛盾,提出了以误差极限法和反向插值法来解决的方法;为了减少规划过程中计算量,在关节空间进行三次样条插值;然后借助图解法进行工作空间分析,作出了实际工作空间的轴剖图。

Owing to the test of fatigue life,possesses a rather big difficulty and its testing data have the characteristics of strong scatterence and if a prediction is made from using grey-forecasting model GM(1,1,thus its prediction value would get a rather big error compared with the real result,This paper hereby put forward a kind of new method to simulate the test.let the data be firstly processed into logarithmic series so as to reduce the scatterence of data,and then carry out the prediction by the use of grey-forecasting model.

由于疲劳寿命试验具有难度较大,其实验数据具有分散性强的特点,如果直接用灰色预测模型(GM(1,1))作预测,其预测值与真实结果的误差较大。在此提出一种试验仿真的新方法。首先将数据处理成对数序列,以降低其数据分散性;然后再用灰色预测模型进行预测。

The non-reference-signal's adaptive digital filter algorithm of multi-sensor data fusion in the course of adaptive filter can be done without reference signals. It can adjust convergence constant automatically, it can also be recurred with real gradient value. Thus the field to apply the adaptive filter is widened, the convergence speed of the adaptive filter is sped up, the weighted disadjustmend is decreased, so that the last error of mean square approaches its minimum value more.

这章研究的基于多传感器数据融合无参考信号的自适应数字滤波算法其在自适应滤波过程中具有不用参考信号与自动调整收敛因子及使用实际梯度值进行递推的特点,这样不仅可扩大自适应滤波的使用范围,而且还使自适应滤波的收敛速度加快有效地减小权失调,从而使最后的均方误差更接近于其最小值。

In order to predict real-time muzzle velocity, a theory method of error modifying coefficients of muzzle velocity was brought forward.

为对炮口速度进行实时预测,提出了炮口速度误差修正系数理论推导方法。

The optimal amount of historical data for parameter estimation and for the determination of the order of error polynomial are studied by using real data.

结合实际数据研究了电价预测模型中参数辩识的最佳历史数据量及模型中残差多项式阶次的选择问题。

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