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systematic error相关的网络例句

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

The meshing of FG drives with misalignment, which includes shaft angle error, shaft crossing error and axial shift error, is analyzed by using the continuous tangency of pinion and FG to obtain the equations of tooth contact analysis, and visualizing contact path, and studying the effect of errors on the shift of it. A computational procedure of tooth contact is developed in this paper.

在具有安装误差的面齿轮传动的啮合分析中,建立了在有轴交角误差、轴交错误差和轴向偏移误差情况下的齿面接触轨迹所满足的方程,提出了一种求解接触点参数的策略;对齿面接触轨迹进行了可视化;分析了各类误差对齿在接触轨迹的影响。

The error of ultimate load prediction after retrofitting:the error of structure program and preliminary estimation are between respectively 35~80% and 25~40%, the reason of error results from the slight deformation between the fixed beam relation with brick arch and reaction force base.

砖拱补强后,其水平极限荷载预测之误差:值分析程式预测结果误差约在35~80%之间,推估公式预测结果误差约在25~40%之间,试验进时砖拱与底固定处及底与反基座产生微小变形应为误差源。

The error of ultimate load prediction of un-reinforced brick arch: brick arch will be simplified to portal frame are used to preliminary estimation, in-plane stiffness which only provides from vertical frame, the average error between -20~20%;Structure program are used to simulate brick arch with shell elements analyzed, the average error between -15%~10%.

未补强砖拱,其水平极限荷载预测之误差:推估公式中将砖拱简化为门形构架,其面内刚由垂直构材提供,平均误差在-20~20%之间;结构分析程式中将砖拱以壳元素模拟,平均误差在-15~10%之间。

Simulation result shows that the alignment accuracy was 5' for east direction maladjustment angle error, 2' north direction maladjustment angle error, and 6' for azimuth maladjustment angle Error.

仿真结果表明该方案的对准精度(1σ)可以达到东向失准角误差为5角分,北向失准角误差为2角分,方位失准角误差为6角分。

The result indicates, under the condition of big initial error and shell"s high speed rolling, after 60 seconds" flight alignment, the error of azimuth angle and attitude angle can be decreased to no more than 10 angle second, and the position and velocity error has been corrected. This shows the effective of our designed arithmetic.

研究结果表明:在初始误差较大、弹体高速旋转的条件下,经过60秒的空中对准,三个姿态角误差可降至10个角秒以下,同时位置和速度误差得到了修正,从而验证了算法的有效性。

Moreover, the accuracy analysis for different measurements and parameters(such as time measure error, azimuth measure error, buoys error, baseline length and sound velocity fluctuation) are given respectively. To make the best use of the observation datas, the weighted least square localization algorithm is used to improve the accuracy in bistatic sonar. The simulation results show that the positioning accuracy of this algorithm is higher than the other four algorithms, with which the positioning accuracy in stations areas and side areas can be improved effectively.

同时,通过对系统各个因素,如系统的各观测量的测量误差、站址误差、基线长度、声速波动等参数对算法性能的影响,得出了各方法定位误差的分布规律;为了充分利用双基地声纳系统的观测数据,提高系统的定位精度,采用加权最小二乘方法对系统的数据进行优化处理,仿真结果表明该方法定位精度明显高于基本方法的定位精度,能有效的改善发射站和接受站侧边区的定位精度,且定位性能受站址测量误差的影响较小。

And by comparing the actual clock, find out the source of the error and determined the method of adjusting error, reduce errors as much as possibly, so this system can achieve a practical digital clock with error within the permissible range.

并且通过对比实际的时钟,查找出了误差的来源,确定了调整误差的办法,尽可能的减少误差,使得系统能达到实际数字钟的允许误差范围内。

And by comparing the actualclock, find out the source of the error and determined the methodof adjusting error, reduce errors as much as possibly, so thissystem can achieve a practical digital clock with error within thepermissible range.

并且通过对比实际的时钟,查找出了误差的来源,确定了调整误差的方法,尽可能的减少误差,使得系统可以达到实际数字钟的允许误差范围内。

Based on the CMMB system signal model, symbol timing synchronization error, sampling clock offset error and carrier frequency offset error are analyzed carefully.

在建立CMMB系统信号模型基础上,分析了符号定时同步误差,采样钟偏移误差,载波频偏误差对CMMB系统性能的影响。

In the traditional AdaBoost method,the weights are updated based on the weak classifier's overall error rate, this article proposes one kind of the method which unifies the level of difference between the threshold and the feature value of the weak classifier with the weak classifier's overall error rate. Compared to the method which only based on the overall classification error rate to update the weights,this method can achieve higher detection rate while reduces the mistaken-detection rate.

在传统AdaBoost方法中,权重是根据弱分类器的整体错误率来更新的,本文提出了一种将弱分类器的阈值与特征值相差程度和弱分类器的整体错误率相结合来更新样本权重的方法,相比较只根据整体分类错误率来进行权重更新的方法,这种方法可以在降低误检率的同时达到较高的检测率。

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