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- mean square regression 均方回归
- mean square regression plane 均方回归平面
- For the regression estimation when the auxiliary variate is correlated with the disturbance, the bias and mean square error (MSE) of the regression estimator are obtained, and the estimator of the MSE is presented. 摘要讨论了辅助变量与扰动项相关条件下的回归估计，给出了在这种条件下回归估计量的偏差和均方误差以及均方误差的估计。
- RMSE (Root mean square error), measured in percent of the peak intensity. RMSE（均方根误差），以峰值强度的百分比为测量单位。
- By means of least square regression, the fusion model of tool wear/fracture in turning/endmilling using 3-degree Polynome with veriable coefficients has been established. 借助于最小二乘回归，建立了变参数三次多项式车／立铣刀具磨／破损融合模型。
- A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach. 运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
- A novel adapting partial least square regression (APLS R) approach was proposed to develop the naphtha dry point soft sensor of the prima ry distillation tower. 提出了一种具有强非线性表达能力的自适应偏最小二乘回归(APLSR)方法;并应用于初顶石脑油干点软测量模型建立.
- Methods The criterion of mean square error (MSE) was used to determine the pool size and the number of pools. 方法 以均方误差达到预定精度要求为准则,确定混合样本大小与混合样本量。
- In this paper the principle and method of testing of RMS(Root Mean Square )graininess of radiograph were described. 作者介绍了X线照片均方根值（rootmeansquare，rms）粒状度的测试原理及方法。
- The best solution is to refine technique and thus reduce the size of the error mean square. 最好的解决办法是提高技术，以降低均方误差的大
- Its results are compared with that of the least squared regression method. 还与最小二乘回归的预测结果进行了误差分析。
- Multiple scattering from two-dimensional rough surface with large surface root mean square (RMS) slope is studied with Kirchhoff approximation. 摘要利用基尔霍夫近似研究了表面均方根料率较大的二维粗糙面的多次散射问题。
- The stochastic Control methods to guarantee the mean square stability of the system are summarized. 并对相继时刻的随机延迟相互独立或者条件相关的不同特点进行了讨论。
- The method focuses on minimizing the ensemble mean square error of the estimation. 该方法可以估计的总体均方误差最小。
- Minimum Mean Square Error (MMSE) iterative soft interference canceller is a popular SISO detector in such system. 为了进一步改善系统性能，采用链路自适应方案是很好的选择。
- In this paper a blind adaptive multiuser detector based on Minimum Mean Square Error (MMSE) criterion is proposed. 该文提出了一种直接基于最小均方误差(MMSE)准则的盲多用户检测算法。
- Training results show that the RBF neural network can receive smaller mean square error (MSE) within shorter time. 训练的结果表明RBF神经网络可以在更短的训练时间内，获得更小的均方误差。
- Least squares regression is vulnerable to singular point; least absolute deviations can overcome this shortcoming but difficult in calculation. 摘要采用最小二乘法进行回归分析，容易受到奇异点的影响；最小一乘法虽能很好地克服这一缺陷，但又存在计算困难。
- Similar day,time series,artificial neural networks and partial least squares regression are used in this short term load forecasting software. 该系统包含相似日、时间序列、人工神经网络和偏最小二乘回归分析四种短期负荷预测方法。
- Finally ，we Use linear minimum mean square error equalizer to resist ICI effect. 最后，我们用线性最小均方差等化器来对抗ICI效应。
