拟合误差的英文

• error of fitting

• "拟"英文翻译    draw up; draft
• "合"英文翻译    ge,a unit of dry measure for ...
• "误差"英文翻译    error
• "拟合误差曲线" 英文翻译 :    fit error curve
• "闭合误差" 英文翻译 :    closing error; closingerror; closure error; error of closure
• "符合误差" 英文翻译 :    coincidence error; coincidence loss
• "复合误差" 英文翻译 :    combination misalignment; composite error
• "集合误差" 英文翻译 :    aggregate error
• "啮合误差" 英文翻译 :    verzahnungsfehler gear tooth cutter
• "偶合误差" 英文翻译 :    coincidence error
• "配合误差" 英文翻译 :    mismatch error
• "折合误差" 英文翻译 :    reduced error
• "重合误差" 英文翻译 :    coincidence error
• "综合误差" 英文翻译 :    combined error; composite error; composition error; compositionerror; error of aggregation; overall error; resultant error; synthetic error
• "总合误差" 英文翻译 :    combined error; overall error
• "总综合误差" 英文翻译 :    tce; total composite error
• "组合误差" 英文翻译 :    combined error
• "齿间组合误差" 英文翻译 :    tooth to tooth composite error
• "交叉耦合误差" 英文翻译 :    cross-coupling error
• "径向综合误差" 英文翻译 :    radial composite error
• "复合误差随机模型" 英文翻译 :    multiple-error stochastic model; multiple-error-stochastic model
• "三角形闭合误差" 英文翻译 :    error of closure of triangle
• "掩模相互重合误差" 英文翻译 :    mask overlay error; mask superposition error
• "齿轮啮合误差测量仪" 英文翻译 :    gear meshing error meter
• "最小平方误差拟合" 英文翻译 :    least-squared error fitting

• The main sources of uncertainty come from non - linear calibration models and pre - processing step of samples
  测量误差的主要来源是样品校正曲线拟合误差、样品测定重复性标准偏差。
• Abstract an algorithm of feature surface recognition based on quadric surface fitting and geometry property was presented
  摘要提出了基于二次曲面拟合误差分析和几何属性分析的特征曲面识别算法。
• Therefore , the method that unstable random process turned stationary random process was put forward . quasi - error data were made and aiming errors were visible modified base on stationary random process
  在乎稳化的基础上进一步拟合误差序列，经平稳化处理后的瞄准误差得到了明显的修正。
• Based on the statere configuration system , an unknown input observer is presented for the prediction of time series . the approximate error of the ar model is regarded as the unknown - input of system
  以实时拟合时间序列的线性ar模型作为时变系统的已知线性部分,将拟合误差作为时变系统的未知输入,实现了系统状态的多步预测。
• There have not avoided test errors in the test process . except the hardware measures are taken to eliminate the errors , the methods of eliminating errors from data fitting aspect are introduced in detail in chapter 5 , that is immune algorithm . the results have testified to get higher precision using immune algorithm to process sampling data compare with using b - p algorithm
  检测过程中不可避免地存在着测量误差，除了从硬件方面考虑减少或消除误差采取的措施外，论文第五章从数据拟合方面详细介绍了减少拟合误差的方法? ?免疫算法，并将数据拟会结果‘ sb p算法对数据的拟合结果进行比较。
• And use relative fitting error to measure statistical data non - uniform error ; then introduce the method systematically of using the fuzzy comprehensive evaluation method to carry on the overall superior test of the government statistical data quality . includes the establishment of step level appraisal target system , target weight determination , calculates the factor weight in various levels , uniform test of judgment matrix , and built up the final fuzzy comprehensive evaluation model of the government statistical data quality according to the above - mentioned standard ; finally selects the partial main social economy total quantity target from chinese statistics yearbook 2003 to carry on the real diagnosis analysis : ( 1 ) confirm these social economy total quantity targets using the description statistics and the k - s inspection method to obey the lognormal normal distribution . ( 2 ) according to the two levels of inspection methods which this article proposed to carry on accuracy and the overall superior test for these social economy total quantity targets
  本文首先从统计数据及质量的涵义出发,全面系统的介绍了统计数据质量的概念;其次,从研究统计数据的分布规律入手,对统计数据准确性检验问题进行了探讨,利用对数正态分布检验对反映研究对象规模大小的统计数据的质量及异常数据进行定量检查和识别,并利用相对拟合误差计量统计数据的非一致性误差;接着系统介绍了利用模糊综合评价方法对政府统计数据质量进行整体优度检验的思路,具体包括建立递阶层次的评价指标体系,指标权重的确定,计算各层次中因素的权重,判断矩阵的一致性检验,并根据上述标准建立了最终的政府统计数据质量模糊综合评价模型;然后通过从2003年中国统计年鉴资料中选取部分主要的社会经济总量指标进行实证分析: ( 1 )利用描述统计和k - s检验法来验证这些社会经济总量指标服从对数正态分布的规律; ( 2 )按照本文提出的二级检验法来对这些社会经济总量指标进行准确性和整体优度检验,从而达到综合评价政府统计数据质量的目的;最后对这种二级检验法的优点和不足进行小结,提出今后应该努力改进的方向。
• The estimation procedure is based on the steady - state characteristics versus slip curves . the sum of squares of differences between calculated and experimental characteristics is employed as the fitting criterion . the machine parameters are obtained by minimizing the least - squares cost function using genetic algorithms
  该方法利用电机稳态特性曲线，以特性计算值和实验值的拟合误差的平方和作为判断准则，通过应用遗传算法最小化二乘准则函数来获取电机参数。
• Muti - aperture overlap - scanning technique ( maost ) and target function can solve the problem of testing a large optical surface on the basis of ordinary digital interferometer of wavefront , and get the most information of wavefront in the end in the condition of big kr , muti - aperture overlap - scanning technique ( maost ) using target function is proved and we can get the most information of wavefront in the case of guarantee of high precision by the aid of simulation , experimental and tests , many influential factors , i . e . , the apertureconnection mode , shape of mirror , error in subaperture test and kr are analysed contribute to controlling and testing large optical surface
  本文首先在较大孔径放大系数( 4 )的情况下，论证了目标函数多孔径拼接技术，保证了较高的精度，得到较完整的波前信息。然后，结合实验结果，从拼接模式、被测面形、测量误差、数字干涉仪分辨率和不同孔径放大系数等角度出发，分析了各种因素对精度的影响，并详尽的探讨了各种误差源，包括静态误差、动态误差、拟合误差、拼接误差。
• Consequently , automatic mura inspection of tft - lcd emphasizes on the image segmentation of mura under complex background , feature extraction in accordance with mura and pattern recognition method being capable of imitating human beings . a new “ murafpr ” algorithm for visual defect inspecting of tft - lcd is described in this paper . in image segmentation , a segmentation method of mura image based on polynomial surface fitting by least square method is proposed in this paper
  相对于该背景模型,被测tft - lcd屏图像中没有缺陷的区域拟合误差很小,能满足拟合精度的要求,而mura缺陷所在的区域与背景模型的拟合误差则很大,超过了拟合精度的要求。
• At first , this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level , and collects the corresponding data ; secondly , because there are strong nonlinear relation in the corresponding data , by meticulous theory analysis , this paper integrates basic nonlinear analysis method , theory of random analysis , method of least squares and so on . it puts forward a method which can get the high accuracy simulation of the data , perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly , it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low , and get the high - accuracy simulation about the typical nonlinear relation ; at last , this paper definitudes the main influence mode that the capacity of sand . it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover , this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel
  首先，系统分析了影响黄河水位的水沙因素，及仅用水沙因素有效研究水位的可行性，并按变量对应思想采集它们的相应数据；其次，由于相应水位过程数据中含极强的非线性关系，本论文经细致的理论分析，将基本的非线性分析方法、统计建模方法、随机分析理论、最小均方误差原则等等数学理论及方法有机揉合，提出了能有效实现这类数据高精度拟合的分层筛选法，并改进了统计学中多因子(三个以上)方差分析法；再次，将这一方法用于黄河中高及中低含沙类洪水相应水位过程的拟合，实现了这一典型非线性关系的高精度拟合，各年汛期上下游相应洪水位过程的拟合误差都较小；最后，明确黄河下游含沙量对水位的主要影响方式，即含沙量主要是与其它因素联合对水位作用；另外分析了要实现变动河床洪水位过程准确预报的困难所在及改进方向。