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均方误差

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As to seemingly unrelated regression system,a new biased contracting estimator of the parameters is put forward,which is the combination of generalized ridge covariance-improved estimator and Stein estimator,and the good features of this estimator in mean square error is discussed.

对于一类相依回归系统,结合广义岭型协方差改进估计与Ste in估计,提出了一种新的有偏压缩估计,,并讨论了该估计在均方误差下的优良性质

In the mixed linear model with two variance components, two positive estimates of variance component are proposed, which are dominate the ANOVA estimate and the Tatsuya estimate in the sense of mean-squared errors.

对含有两个方差分量的线性混合模型,本文给出了两个正的截尾估计,并指出它们在均方误差意义下优于ANOVA估计和Tatsuya估计。

The computer simulation showed the blind Sign-EMS MLSE algorithm is superior to conditional blind EMS MLSE algorithm in convergence speed and mean square error in typical telephone channel, symmetric channel and common channel.

通过计算机仿真试验,在典型电话信道,对称信道以及普通信道中,对该算法与传统的LMS盲最大似然估计算法性能作了比较,并证明了该算法在收敛速度、均方误差等方面均优于传统算法。

It overcames the shortcoming of the discontinuous character in hard-thresholding function and solves the problem of the permanent bias in soft- thresholding function.

仿真实验结果表明,采用新的阈值函数的去噪效果在信噪比增益和最小均方误差意义上均优于传统的软

Multi-focus images are taken as experimental data, mean square error, difference coefficient, correlation coefficient are used to evaluate the results, and comparison with results based on wavelet transform is also carried out .

对多聚焦图像进行了实验,采用均方误差、偏差指数和相关系数对融合结果进行了客观评价,并与基于小波变换的融合进行了比较,实验结果表明该方法除分解2层时与小波性能相当,取其他分解层数时均获得更好的融合效果。

A kind of BP adaptive fuzzy method using minimum standard deviation estimator to identify gyro random drift is proposed in the paper, and the mathematical model is established.

本文提出一种BP自适应模糊辨识法及其辨识过程,它充分利用了语言信息与数据信息,在线反向传播学习,实现对陀螺仪的随机误差的高精度辨识,使数据辨识的均方误差达到最小。

The Analysis shows that the bigger the variation coefficient of dependent variable,the bigger the mean square error of regression equation when the multiple correlation coefficient is definite.

分析表明,复相关系数一定时,倚变量的变差系数越大,回归方程的均方误差就越大;回归分析时,应对回归方程的误差进行分析。

The performance of the proposed method is compared with that of the well-known vector standard filters such as the VMF, progressive switch median filter, scalar median filter ,minimum distance between central sample and scalar median in its neighborhood vector median filter and the basic vector directional filter.

结果表明,DMNVM滤波性能明显优于现有的VMF、递进开关中值滤波、标量中值滤波、与标量中值距离最小向量滤波和方向矢量中值滤波;同近年提出的自适应向量滤波比较,AVMF客观指标平均绝对误差协MAE、均方误差和标准色差分别是DMNVM的1.81、2.59和2.17倍,这说明DMNVM的滤波性能有显著提高。

This method is applied in gasoline Low-Resolution Raman spectra data preproc he max positive/negative error and root mean squares error of cross validation of the partial least square model based on spectra after preprocessing is used to build are selected as criterion.

将其应用于汽油低分辨率拉曼光谱的预处理,并采用预处理后光谱建立的偏最小二乘模型预测值的最大正负误差和交叉检验的均方误差作为指标。

A large number of commercial data were simulated, and the high performance of the soft-sensor is demonstrated by the fact that the maximum relative error, relative root mean square error and tracking precision are 2.68%, 0.17% and 0.9569, respectively.

针对大量工业数据,进行仿真计算,得到模型的最大相对误差、相对均方误差和跟踪性能指标分别为2.68%、0.17%和0.9569,说明该软测量模型具有良好的预测能力和跟踪性能。

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