偏最小二乘我会想更多地了解你。
利用最小二乘估计对甲板的变形进行了分析。
The least squares estimation was applied to the analysis of deck deformation.
本文阐述了两类不同概念的递推最小二乘估计。
In this paper, Two Different Concepts for the Recursion of Least Square Estimation is Introduced.
加权最小二乘回归。
最小二乘回归模型选择与九技术，包括逐步回归。
Least squares regression with nine model selection techniques, including stepwise regression.
本文考虑二维FIR滤波器的约束最小二乘设计问题。
Constrained least-squares design of two-dimensional FIR filters is considered in this paper.
通过加权最小二乘估计来有效地利用系统的冗余信息。
It also makes use of systems redundant information effectively by weighted least squares estimators.
测定混合成本行为模式的最准确的方法是最小二乘回归。
The most accurate method to determine the behavior pattern of a mixed cost is least-squares regression.
介绍了最小二乘支持向量机计算法和滑动时间窗的建立。
The establishment of beast square support vector machine method and sliding time window is introduced.
通过多元线性最小二乘回归，得到了射流深度的关联式。
The regression of the experimental data yields the correlation of jet penetration depth.
并运用基于最小二乘的方法实现了一种自动初始校准算法。
The automatic initial calibration of triaxial accelerometers and triaxial magnetic sensor, based on least squares method, is implemented.
提出了一种最小二乘支持向量机的电池剩余电量预测新模型。
A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.
本文提出了一种基于最小二乘拟合的轮对轮缘在线检测系统。
This paper proposes an online detection system of flange based on Least Square Collocation (LSC).
采用最小二乘辨识方法，得到感应同步器测角误差模型的系数。
The parameters of error model were identified by the least square method.
模拟结果表明加权最小二乘估计比最小二乘估计有优良的性质。
Simulation results show that the weighted least squares estimate has better properties than the least squares estimate.
各种参数估值方法的比较表明，时间域最小二乘拟合法较为精确。
The comparison among various methods of parameter estimation shows that the least-squares fitting method in the time domain is more accurate one.
应用最小二乘原理，对频率随温度的变化作了定量的分析和研究。
The changes of frequency with the temperature are analyzed and studied by applying the least square principle.
在该系统中给出了一种基于最小二乘原理的弹翼轮廓误差评价方法。
An profile evaluating method based on least square principle is described.
将偏最小二乘回归与神经网络耦合，建立了城市生活用水量预测模型。
The paper establishes the model for the urban life-water quantity prediction by means of combining neural network with the partial least squares method.
作一比较，在图5我们展示了结果的展开获得了使用加权最小二乘算法。
For a comparison, in Figure 5 we show the results of the unwrapping obtained using an unweighted least squares algorithm.
本文阐述了轴线直线度误差最小二乘评定法与最小条件评定法的数学模型。
The mathematical models of axis straightness errors by Least Square evaluation and minimum condition are discussed in this paper.
与其它的迭代最小二乘相比，具有较小的稳态误差和良好的动态跟踪能力。
Compared with other RLS algorithms, it has smaller steady-state error and better ability of tracking dynamical parameters.
按最小二乘原理，建立了球面坐标系下的法方程组及其系数矩阵的具体形式。
Acoording to the least square principle the normal equations and its coefficient matrix are performed.
根据最小二乘原理和回归模型设计出消除噪声的自适应滤波器，以消除图像的噪声。
An adaptive filter is designed in the paper to remove the noise of an image in terms of the principle of least squares and regression model.
文章讨论如何根据最小二乘原理和回归模型设计出自适应滤波器，以用于消除图像噪声。
This paper discusses how to design an adaptive filter to remove the noise of an image in terms of the principle of least squares and regression model.
提出了一种基于最小二乘支持向量机(LS - SVM)的铁路客运量预测的新方法。
A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).
由于采用基于最小二乘原理的维尼迪柯夫滤波器，方法的精度比经典的别尔采夫方法要高。
Evidently, owing to the application of Venedikov's filter based on the least squares principle, the accuracy obtained by this method is better than that by Pertsev's.
为了建立基于光谱的实时监测模型，本文给出了一种基于移动窗口策略的的偏最小二乘算法。
In order to establish real - time model of spectral measurement, a algorithm called Moving Windows Partial Least Squares algorithm is proposed.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
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