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estimation of error相关的网络例句

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

At the same time, Monte Carlo simulation is used to validate the idea. The results show that the Mean Square Error of frequency estimation using a median filter is better than that by using a mean value filter.

运用Monte Carlo仿真手段对其进行了验证,结果表明,在非线性频率估计中运用中值滤波算法后,其估计的均方误差较之运用均值滤波算法有很大的改善。

The effects of additive channel noise and numerical error, so as to increase the accuracy of channel estimation.

与子空间的方法比较起来,我们所提出的方法较为简单,同时判别条件也较为宽松。

Different polynomial coefficient combination of amplitude changes is selected as the input signal to minimize the compensation error. A dynamic coefficient polynomial model is given with simplified coefficient estimation algorithm based on direct learning architecture.

动态系数多项式具有多组系数,随着输入信号幅度的变化,多项式选取不同的系数组合,从而降低非线性补偿的误差;文中讨论了动态系数多项式模型的构造方法,并且给出了基于直接学习结构的简化递归系数估计算法。

Sset future prices can be forecasted with filtering historical simulation by drawing from standardized residual density. The problem of inappropriate risk neutral assumption could be resolved by the calibration from density transformation. The transformation is to identify the state price density per unit probability through the parameter re-estimation by minimizing the mean squared error of market and model prices.

bstract:使用残差机率分配抽样的过滤历史模拟法可以作为未来资产价格的预测,而风险中立假设不适当的问题则可透过风险测度的转换予以解决,该转换过程系将市场价格与模型价格的均方差极小化求得估计校正后的新参数,作为状态价格机率分配的转换机制。

This is a globally optimized algorithm and can derive a rheological parameter estimation, showing superior statistic features including near unbiasedness of fitting residual error and almost least variance.

新算法是一个全局优化算法,所得到的流变参数估计具有拟合残差近似无偏性和方差几乎为最小的特征。

This new algorithm can derive a rheological parameter estimation that shows superior statistic features of fitting residual error unbiasedness and least variance.

该算法不需要人工给定迭代初始值,迭代过程稳定收敛到最小点,不会陷入极小点陷阱,收敛速度很快,所得到的流变参数估计具有拟合残差无偏性和方差最小的优良统计特征。

Hierarchical linear modeling is the most frequently used technique for analyzing multilevel data. In this paper, the twelve key issues in multilevel research and/or using HLM software were reviewed, and provided their exact meanings and feasible solutions. The 12 key issues included intraclass correlation coefficient, sample sizes, formation of organizational constructs, centering problems, fixed effect and random effect, estimation methods, goodness of fit index, explained variation, multicollinearity, robust standard error, level one variance equation, and empirical Bayes estimates.

本文针对阶层线性模式在多层次研究上有关於技术、测量与方法论所遭遇的问题,进行文献整理并讨论其实务意涵,并依据使用时机、抽样议题、资料汇总、分析方法、与模式评估与估算等五方面整理出十二项重要议题与解决之道,包括:组内相关系数的意义与判断准则、多层次研究各层的样本数问题、变数聚合成组织层次问题、中心化的意义、固定效果与随机效果的设定、估计法的选择、适配度的比较、解释变异量的计算、多元共线性的分析、强韧性标准误、第一层误差项变异数与实证贝氏估计值的运用。

The FEM model was accurate andeffective by using submodel and error estimation technique that ensured the reliability of calculation and analysis.

在建模过程中采用了子模型、误差估计等技术手段,得到了计算精度较高的有限元模型,为寿命计算提供了有力的保障。

As a result, the statistic feature of measurement error becomes different,and the derived rheological parameter estimation tends to be no unbiasedness and with the least variance.

钻井液流变模式的参数估计问题大多使用线性回归方法求解,然而,线性回归方法改变了测量误差的统计特征,使得所得到的流变参数估计不具有无偏性和方差最小等特点。

The upper bound of its parame ter estimation error is analyzed, and the way to choose

投影辨识方法的参数估计误差上界,并给出了使估计误差上界最小的最佳数据窗

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