查询词典 mean square root

On the basis of comparison of several algorithms of the calculation of unstable resonator"s mode. Fast Fourier transform method is chosen in this paper. The model of multi-layer distribution of gain is established. Sampling granularity in real space used in FFT, quotient of guard band and distance between subsections are made certain respectively. The convergence criterion of root-mean-square of plural y which is the quotient of the optical field"s distributions separated by one pass is established. Under the circs of multi-kind of distribution of gain and different measurement of distortion, the output optical field distribution is calculated.

在比较了各种计算腔模方法的基础上，根据角谱传播理论，选择FFT算法，建立谐振腔内多层增益分布模型，分别确定了FFT算法的空间采样间隔、保护带系数和分段计算的距离，选取光场往返一次之比的均方根值收敛准则，计算多种增益分布、不同镜面变形时的谐振腔输出光场分布，同时计算该光场的远场分布和传输有限距离之后的分布。

The induced changes in log mesopic contrast sensitivity showed significant negative correlation with the changes in third-order (r =-0.490, P =.0013 without glare; r =-0.362, P =.0177 with glare; Spearman rank correlation coefficient) and fourth-order root mean square (r =-0.586, P =.0001 and r =-0.306, P =.0450, respectively).

中间视力对比敏感度log值的变化与三阶像差(r =-0.490， P =。0013 无眩光； r =-0.362， P =。0177 ，有眩光； Spearman 等级相关系数)和四阶像差(r =-0.586， P =。0001无眩光；； r =-0.306， P =。0450有眩光，)的均方根呈显著负相关。

The 3D-curves were shown for different factors,root mean square errors of cross validation,and prediction residual sum of squares.Analysis results ...

实验结果表明：校正模型的预测精度在5 452~12 285 cm-1波段范围内，最佳主因子数为7时，雪青梨总酸的预测精度最好，其预测集的相关系数达到了0.79，预测标准偏差为

Correlation coefficient of prediction set for the correction model of fat and protein are 0.990 and 0.994, and root mean square error prediction is 0.007 or 0.004, respectively.

所建立的脂肪和蛋白质校正模型的预测集相关系数分别为0.990和0.994，预测均方根误差分别为0.007与0.004。

The objective function of the optimization problem consists of both the performance metrics of the image fusion, such as the root mean square error, and those of individual filters.

该优化问题的目标函数包括了图像融合的性能指标，如最小均方误差以及一些与传统滤波器相关的性能指标，包括阻带和通带能量。

Model parameters were iteratively identified untilthe root mean square error between the respiratory and model-predictedimpedance was minimum.

模型参数进行重复识别直到呼吸阻和模型预测阻间的均方根误差达到最小。

Experimental results show that it outperforms the discrete wavelet transform approach with 33% to 36% reduction in root mean square error, 0.9% to 53% improvement in standard deviation of gray level, 39% to 42% enhancement in mutual information, and 0.3% to 38% improvement in space frequency.

实验结果表明，与小波变换融合方法相比，均方根误差减小了33%~36%，灰度标准差提高了0.9%~53%，互信息提高了39%~42%，空间频率提高了0.3%~38%，客观评价准则与目视效果吻合良好。

The experimental results show that the predicting result of RBFNN is better than that of BPNN. Root mean square error of prediction decreases from 0.72 0Brix to 0.65 0Brix.

研究结果表明：径向基函数神经网络比反向神经网络获得的预测结果更好，校正模型的预测均方根误差从0.720Brix降低到0.650Brix。

The performance of the final model was evaluated according to the Root Mean Square Error of Prediction and the Correlation coefficient in prediction and calibration sets.

研究了利用联合区间偏最小二乘法和遗传偏最小二乘法等筛选特征谱区的方法，通过交互验证法确定偏最小二乘模型的主成分因子数和筛选区间，并以预测均方根误差和相关系数R作为模型的评价指标。

Monte Carlo simulation results show that the particle filter with threshold de-noising can effectively reduce the filter root mean square error and improve filter accuracy, and that in the corresponding linear and non-linear systems are reduced by 14% and 12% respectively.

在所采用的线性及非线性系统中，均方根误差均值分别降低了14%和12%。

According to the clear water experiment, aeration performance of the new equipment is good with high total oxygen transfer coefficient and oxygen utilization ratio.

曝气设备的动力效率在叶轮转速为120rpm～150rpm时取得最大值，此时氧利用率和充氧能力也具有较高值。

The environmental stability of that world - including its crushing pressures and icy darkness - means that some of its most famous inhabitants have survived for eons as evolutionary throwbacks, their bodies undergoing little change.

稳定的海底环境─包括能把人压扁的压力和冰冷的黑暗─意谓海底某些最知名的栖居生物已以演化返祖的样态活了万世，形体几无变化。