选择最优参数的过程即是对以均方根误差最小为目标的整数规划问题的求解过程。
The process of which is to solve the integer programming problem with the objective function that RMSE is minimal.
采用最优集合子集预报方式时的臭氧预报均方根误差比原确定性预报低了10%以上。
By selecting sub-ensemble with smaller error, the root mean square error of forecast is reduced by over 10%.
给出了波荡器位相误差的函数式，可由磁场峰值分布直接计算波荡器位相均方根误差。
Undulator rms phase error is expressed as function of the magnet peak field distribution. It can be used as the objective function for practical undulator performance optimization.
并采用熵、交叉熵、互信息、均方根误差和峰值信噪比等指标对该方法进行了客观评价。
The method "s performance is evaluated by using the entropy, cross-entropy, mutual information, error of mean square root and peak signal to noise ratio."
通过对计算机模拟漫射体产生离面倾斜的时变散斑图，计算其均方根误差值，进行了验证。
The out-of-plane tilting speckle interferogram is computer-simulated and the RMS phase error is calculated to verify reliability.
一个简单的迭代法叠加套核磁共振结构和计算得出的均方根误差(均方根偏差)的集描述。
A simple iterative method for superimposing sets of NMR derived structures and calculation of the root mean square deviation (RMSD) of the sets is described.
结果表明，使用该方法选取的控制点均方根误差（RMSE）可以控制在0.5个像素以内。
The results show that the root mean square error(RMSE) of the control points obtained by the workflow is lower than 0.5 pixels.
对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根误差在15%左右。
The results of the test data indicate that the prediction system is reliable and the root of mean square error is about 15%.
常用的基于均方根误差(RMSE)图像保真度准则不能准确地放映一些灰度图像主要敏感细节。
The popular fidelity measurement method based on root mean squared error (RMSE) is unable to completely reflect the details of the sensitive information of compressed grayscale images.
此外，利用熵、图像均值、均方根误差、峰值信噪比等参量对该融合方法的融合性能进行评价与分析。
In addition, with the use of the parameters such as entropy, average of image, root mean square error, peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed.
最后在模拟测试之下，利用最大概似估计法求得各参数的误差、均方根误差、参数之上下界限以及涵盖。
Simulation results show that the maximum likelihood estimates perform well in most cases in terms of the mean bias, errors in the root mean square and the coverage rate.
介绍了图像融合的各种评价方法，包括：熵、交叉熵、交互信息量、均方误差、均方根误差、峰值信噪比。
The methods of the evaluation of image fusion, which includes: entropy, cross entropy, mutual information, mean square error, root mean square error, peak-to-peak signal-to-noise ratio were presented.
对多聚焦图像和多光谱彩色图像分别采用计算图像信息熵和均方根误差、计算图像平均梯度的方法对融合的性能进行评价。
There is explicit characteristic of correspondence reflecting the droplet transfer among the electric, spectral and image information based on time information fusion.
采用确定系数、绝对误差、相对绝对误差、均方根误差、相对均方根误差等模型评价指标对不同模型系统的精度进行比较分析。
Coefficient determination, absolute bias, relative absolute bias, root mean square error and relative root mean square error were employed to evaluate the precision of different model systems.
仿真实验表明该算法能够将航迹平均周期提高一倍，在航迹中断期间对比最小二乘方法能够较大幅度地减小跟踪位置和速度的均方根误差。
Simulation results show that the proposed algorithm doubles the mean track life and yields significant improvements in position and speed RMS errors during the track breakage.
通过对华东某地市电网日负荷96点曲线的预测结果显示，该方法效果较好，日预测均方根误差在1.78%以内，能较好地满足实际电力系统的负荷预测要求。
The forecasting results of a city in east China showed that, the MSE forecasting error of 96 points daily load is only about 1.78%. The method can satisfy the request of real power system well.
对SVM多元非线性回归泛化性能进行测试，其均方根相对误差为1.06%，平均绝对相对误差为0.96%，最大绝对相对误差为1.16%。
The root mean square relative error, mean absolute relative error and maximize absolute relative error of SVM model generalization performance are 1.06%, 0.96% and 1.16%, respectively.
对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根 误差在 15%左右。
The results of the test data indicate that the prediction system is reliable and the root of mean square error (RMSE) is about 15%.
试验结果表明，当传感器噪声的均方根小于10米时，TERCOM算法可以获得大于90%的匹配概率，SITAN算法也可以达到60~70米的CEP圆概率 误差。
The result shows that when the mean root square of sensor noise is less than 10m, TERCOM algorithm can achieve matching probability of 90%, while the CEP of SITAN is 60~70 meters.
结果：所建的5个模型对验证集样品水分含量的预测值与实测值的相关系数均在0.90以上，预测误差均方根（RMSEP）均在0.05以下。
Result:The coefficients of correlation of inner cross validation and external validation are both above 0.90, and the RMSECV and RMSEP are both below 0.05.
制备的光栅型波前曲率传感器测量结果正确，峰谷值存在10%的误差，均方根值存在2%的误差。
It is verified that the measurement of the self-designed curvature sensor is correct, the error percent of peak-valley value (PV) is 10%, and the error percent of root mean square (RMS) is 2%.
制备的光栅型波前曲率传感器测量结果正确，峰谷值存在10%的误差，均方根值存在2%的误差。
It is verified that the measurement of the self-designed curvature sensor is correct, the error percent of peak-valley value (PV) is 10%, and the error percent of root mean square (RMS) is 2%.
应用推荐